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3D Robotics

Demo of Microsoft AirSim with PX4

From the video description:

I wanted to put this video together to share what I've been working on as it relates to PX4 simulation. I've been really impressed with the capabilities of AirSim and I hope this video makes it a little easier to understand. You can learn more about AirSim here: https://github.com/microsoft/AirSim and my GitBook notes can be found here: https://droneblocks.gitbook.io/airsim... To learn more about DroneBlocks please visit: https://www.droneblocks.io Please feel free to leave a comment below if you have any questions and I hope to share more information in the near future. Thanks for watching.

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Quick install BatMon v4 released

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BatMon v4 released
One of the main challenges faced with BatMon was the installation overhead. Installing BatMon v3 took over an hour on a new battery pack. Second challenge was the cost overhead of a BMS system on each battery. We have reduced these issues significantly with the BatMon v4 release.
  • v4 is super fast to install on most batteries with a tool, and connects to the balance leads.
  • The modular board make it possible to reuse BatMon after end of life of a battery. The XT90 leads can be replaced if they are worn, but can practically be reused few times, reducing the cost overhead on each smart battery pack.

 

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3D Robotics

Clever research from ETH showing how it uses the drone camera to maintain position while a quadcopter spins to maintain control after one motor fails. 

From DroneDJ:

Researchers at the University of Zurich and the Delft University of Technology have been able to keep a drone flying after a motor fails. The researchers have managed to use onboard cameras to keep the test drones in the air and flying safely.

 

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team of researchers has come up with a simple yet ingenious way to solve a problem that will usually result in a drone falling to the ground due to a motor failure.

Well, motor failures don’t often happen, but when they do, the drone needs to stay in the air regardless, especially if people are nearby or the drone is being used for a commercial job. Redundancy is important when it comes to drones.

Davide Scaramuzza, head of the Robotics and Perception Group at UZH and of the Rescue Robotics grand challenge at NCCR Robotics, shared:

When one rotor fails, the drone begins to spin on itself like a ballerina. This high-speed rotational motion causes standard controllers to fail unless the drone has access to very accurate position measurements.

Scaramuzza essentially says that the standard controllers in drones cannot cope with the fast and random spinning of a free-falling drone. This led the team to onboard RGB cameras and event cameras, which we’ve gone into in the past for obstacle avoidance.

GPS methods were also explored before the cameras, but the researchers ended up dumping the idea as GPS isn’t available in all situations, especially when it comes to specific drone missions.

The changes between the frames

Now for the way to keep the drone flying. The team equipped a drone with an RGB camera and an event camera. The standard RGB camera detects movements in the whole frame, where the event camera detects changes on the pixel level, allowing for tiny changes to be spotted.

The data from the two cameras are combined using a specially developed algorithm that then tracks the quadcopter’s position relative to its surroundings. This allows the flight controller to take control of the drone as it spins and flies.

Both cameras work great in well-lit environments, but the RGB camera begins to suffer as light decreases. In testing, the researchers were able to keep the drone stable with the event camera all the way down to 10 lux, which is about equivalent to a dimly lit room.

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Zion Market Research has published a new report titled “Drone Logistics and Transportation Market By Solution (Shipping, Warehousing, Software, and Infrastructure), By Drone (Passenger, Freight, and Ambulance), and By Sector (Commercial and Military): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2018–2025”. According to the report, the global drone logistics and transportation market was USD 4.56 billion in 2018 and is expected to reach around USD 18.05 billion by 2025, at a CAGR approximately 21.9% between 2019 and 2025.

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Unmanned aerial vehicles, also known as drones, are small aircrafts that don’t have a human pilot onboard that can either operated remotely or automated and travel with the help of GPS coordinates. They are made of light material to reduce weight, which enables them to fly at high altitudes. Drones are controlled by a ground cockpit and can easily return to their marked starting position in case of low battery or when the drone loses contact with the controller. Initially, these were used for photography and videography; however, these are used for applications in the supply chain of the modern world. Drones are considered to revolutionize the supply chain.

In this constantly evolving world, entrepreneurs and visionary leaders are focusing on integrating drone delivery in the supply chain. This is the primary growth factor of the drone logistics and transportation market, as including drones in the supply chain is believed to revolutionize the way shipments reach the customers. It will be the fastest way to transport and has the potential to deliver orders within minutes. Drones will have a diverse range of impact on the supply chain. Drones can track inventory and act as a significant system for inventory management, which will reduce the inventory carrying the cost of companies. Around 90% of the inventory of a warehouse is stationary and companies end up with extra inventory due to improper management. However, it is often difficult even for planes to fly in extreme weather conditions like snow, rain, and strong winds. Drones are smaller versions of these flying machines and could pose a major challenge for delivery during extreme climatic conditions, which might imply that drones can deliver only in certain climatic conditions. This is a major restraint for the drone logistics and transportation market.

By solution, the shipping sector is expected to hold the highest market share. Drone shipping has been targeted by various companies like Amazon, Google, UPS, DHL, etc. By drone, the ambulance drone segment will hold a major market share, owing to the increasing casualties and growing traffic congestion in major cities across the globe. The first few moments are the most crucial during an accident to prevent any further escalations. Lifesaving technologies like CPR (Cardiopulmonary Resuscitation), medication, and AED (Automated External Defibrillator) can be made compact enough to be performed by a drone. Moreover, drones can also transfer other crucial medical supplies during disasters and across tough terrains.

Download Free Research Report Sample PDF for more Insights - http://bit.ly/3oWtyz3

North America will hold a substantial share of the drone logistics and transportation market in the future, owing to the various developments and innovations witnessed in the inventory management domain. The U.S. is witnessing continuous growth in tech start-ups every year, which is backed by numerous venture capitalists, thereby increasing the regional market scope. The presence of key market players is also predicted to accelerate the demand for drone logistics and transportation market. In Europe, the presence of developed economies of the UK, Germany, and France is contributing to the drone logistics and transportation market.

Some major key players operating in the drone logistics and transportation market are PINC Solutions, Matternet, Drone Delivery Canada, Hardis Group, CANA Advisors, Infinium Robotics, Workhorse Group, Aerovironment, DroneScan, Skycart, and Zipline.

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An agricultural robot also referred to agri-robot, is a robot designed and deployed for agricultural purposes. Agriculture robots automate the farming process which is repetitive and time-consuming. The agriculture drones are unmanned aerial vehicles operated by controllers over the farmland. The agricultural robots and drones are used in agricultural applications like spraying fertilizer and pesticides, cloud seeding, planting seeds, harvesting, crop growth, and farmland monitoring as well as soil analysis. 

The agricultural sector across the globe is experiencing transition by replacing and changing the traditional framing processes and equipment. The implementation of automated farming equipment like agriculture drones and robots is facilitating the farming business for earning greater profits by adding analytical decision methods and autonomous operations.

According to the research report from Facts and Factors, the global agricultural robots and drones market in 2019 was approximately USD 4.04 Billion. The market is expected to grow above a CAGR of 18.9% and is anticipated to reach over USD 13.58 Billion by 2026.

The emergence and adoption of automation in the agricultural sector are primarily driven by factors that include depleting resources like arable land, underground water, growing demand for global food production, and a rising dearth of manned labor in agriculture. With many governments investing in supporting farmers by providing incentives, good crop prices, and developed supply chains, the agriculture industry is expected to continue the growth trajectory. In addition to the above initiative, governments are also investing in farming technologies that are intended to improve farming efficiency and profit. This has led to rising research and development of automated farming systems like drones and robots. Additionally, the private players operating in the farming technology business are providing customized services to the farmers by providing technology deployment assistance and compatibility analysis for benefitting the farmers. Owing to the above developments, agriculture drones and robots are projected to replace traditional farming methods and requirements, which in turn is expected to catalyze the growth in demand for agriculture robot and drones market.

The UAV segment is expected to grow at the highest CAGR during the forecast period. The segment possesses a high potential for growth owing to the increasing application of field monitoring and spraying pesticides, fertilizers. Additionally, the cost of the UAVs is comparatively low as compared to other robotic systems used for similar purposes. The field farming segment is expected to grow at the highest CAGR owing to the penetration of autonomous robots and auto-steering systems. These systems have seen increased deployment in the large farm produce such as sugarcane and corn.

Some major market players include Deepfield Robotics, Tractor Corporation,  AgJunction, DJI, Trimble, YANMAR CO., Boumatic, Topon, AGCO Corporation, AgEagle Deere & Company, Aerial Systems, ecoRoborix, DeLaval, Naïo Technologies, Lely, CNH INDUSTRIAL N.V., HARVEST CROO, KUBOTA Corporation, ROBOTICS PLUS, Abundant Robotics, Autonomous Iron Ox, lHarvest Automation, AG Leader Technology and  Clearpath Robotics.

Free Sample Research Report is Available for Download on Request HERE

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The main focus of this research is to develop a real-time forest fire monitoring system using an Unmanned Aerial Vehicle (UAV). The UAV is equipped with sensors, a mini processor (Raspberry Pi) and Ardu Pilot Mega (APM) for the flight controller. This system used five sensors. The first is a temperature sensor that served to measure the temperature in the monitored forest area. The others sensors are embedded in the APM. There are a barometer, Global Positioning Sensor (GPS), inertial measurement unit (IMU) and compass sensor. GPS and compass are used in the navigation system. The barometer measured the air pressure that is used as a reference to maintain the height of the UAV. The IMU consists of accelerometer and gyroscope sensors that are used to estimate the vehicle position. The temperature data from the sensor and the data from GPS are processed by the Raspberry Pi 3, which serves as a mini processor. The results of the data processing are sent to the server to be accessible online and real-time on the website. The data transmission used the Transmission Control Protocol (TCP) system. The experimental setup was carried out in an area of 40 meters × 40 meters with 10 hotspots. The diameter of the hotspots is 0.4 meters with a height of 0.5 meters. The UAV is flown at a constant speed of 5 m/s at an altitude of 20 meters above the ground. The flight path is set by using a mission planner so the UAV can fly autonomously. The experimental results show that the system could detect seven hotspots in the first trial and nine hotspots in the second trial. This happened because there is some data loss in the transmission process. Other results indicate that the coordinates of hotspots detected by the UAV have a deviation error of approximately 1 meter from the actual fire point coordinates. This is still within the standard GPS accuracy as this system uses GPS with a range accuracy of 2.5 meters. 

You can Download this article on Research Gate or Journal of Engineering Science and Technology

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The main focus of this research is early detection system for forest fires by using Unmanned Aerial Vehicle (UAV). Data source of fires are collected by mobile devices such as GPS-equipped UAV quadcopter, non-contact infrared sensor, and the sensor stabilizer. The data from sensor is sent via telemetry link 433 Mhz, towards the Ground Control Station. Then the data is processed by a program that has been made, namely SPTA Real-time v0.1.0, which can show the temperature data as well as the color layer based on the difference of temperature levels in real-time on a digital map layer. The coordinates of fires are observed by SPTA realtime v0.1.0, and then it is compared with the coordinates of the source of the fire that is recorded manually. The results of data retrieval, the area that monitored is 3662 m2, constant height of 30 m, quadcopter speed of 5 m / s. First Data, with wind speeds of 3.2 m / s has a difference of 1.18 m from the coordinate source of the fire, within GPS tolerance accuracy is 2.5 m. For the second data with a wind speed of 6 m / s, has a difference of 5.16 m from the coordinates of the source of fire, deviated from the tolerance is 2.66 meter GPS accuracy.

You can download DEVELOPMENT OF UNMANNED AERIAL VEHICLE FOR REAL TIME FIRE FOREST DETECTION.pdf


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Long Range

I left the tittle wide open intentionally.  This is something that is beyond my skills.  One of the things that we all struggle with.  If you want two cameras, you have to have two transmitters or switch betwen them.  Telemetry from your autopilot, can get some of that from the OSD butr to update the autopilot, you need another tranciever  that you can also use for telemetry sometimes.  Then you need the reciever for the remote control stuff.  OK Thats two transmitters, one transciever that really doesn't have good range and a reciever.  All of this back and forth is data.  Some analog some digital.  What I am hoping to throw into the hornets nest here is an idea that I'm hoping the community can take and run with it.  What I'm proposing is using 802.11n  Not g or ac but n.  Reason, most of the wireless service providers are using n to distribute their product, internet connection.  With n you have a range that is in quite a few miles with excellent bandwidth. An 802.11n tranciever can be had in a wide rante of power and cost.  Both the base station and drone mounted unit can be of the same make and power.  Then the output of the tranciever is IP.  That can be decoded by something as a Raspberry Pi and then your cameras and load of stuff can be interfaced vie usb and other ports on the board.  There are only two usb ports on a Pi but a usb expansion board can be used.  Going this rout the amount of data transfered between your base station and the drone is much much broader.  The very design of the 82.11 tech allows for several to many trancievers sharing the space allowing for a coaperative operation of data and this can cut down on interferience. Like when you use an analog video link, ANY transmitter on the same channel can cause havoc and possibly even loss of video.  802.11 is designed to deal with other in the area and will deal with it by design.  So, my tech geniuses let the creativity begin.

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Enterprises & Startups can leverage FlytNow APIs to build & scale automated, cloud-connected drone applications, and reduce time-to-market.

The commercial drone industry is heading towards complete automation. This transition calls for seamless integration with different software & hardware. At FlytBase, we are cognizant of this ever-growing need for scalable enterprise applications that involve drones. Keeping this in focus, we are introducing FlytNow API platform to enable automated, cloud-connected drones applications for enterprises & startups.

We are proud to announce that we are extending the capabilities of FlytNow as a comprehensive backend platform for enterprise drone ops. We introduce FlytNow APIs to securely connect drones with any type of business application that supports RESTful architecture. This means that businesses can rapidly build and scale custom drone applications to manage their drone fleet.

Key benefits of using FlytNow APIs

  • Simple: FlytNow APIs are simple with clearly defined endpoints to perform specific functions.
  • Powerful Abstractions: FlytNow APIs provide powerful abstractions so developers do not have to deal with lower-level languages to communicate with drones.
  • Hardware Agnostic: Whether it is a DJI, PX4, or ArduPilot drone or any companion computer (like Rasberry Pi 4b, Nvidia Jetson, ODROID N2, etc.), FlytNow APIs are agnostic and have the necessary adapters to communicate with the hardware. These APIs
  • Discoverable: Our API endpoints are logically organized in extensive documentation so that even new developers can get up to speed quickly with the capabilities.
  • Consistent: All our API endpoints are constructed logically so that developers can anticipate different functionalities.
  • Virtual Drones: As the name implies, these are simulated drones in a virtual environment. Work on simulations to test your applications faster without risking expensive hardware.
  • Scalability: Our cloud services are hosted on Amazon AWS, and it is adaptive making it possible to deploy resources as you grow your business.

APIs that are currently available for our enterprise users


  • Navigation APIs: Control drones remotely from a dashboard.
  • Telemetry APIs: Fetch telemetry data like speed, altitude, global position, etc. from a drone.
  • Payload APIs: Control & integrate various payloads with FlytNow.
  • Video Streaming APIs: Access live video streaming from a drone. Share this stream with your team and guests for collaboration.
  • Vehicle Setup APIs: Perform a series of checks on the operational capabilities of a drone.
  • Gimbal Control APIs: Remotely control the gimbal pitch of a drone.
  • Camera Zoom APIs: Change the orientation of the camera and the zoom remotely.
  • Command & Control APIs: Send drone to a GPS location, control heading remotely.
  • Mission Planning APIs: Set a pre-programmed mission/path for a drone.
  • Precision Landing APIs: Land drones precisely on a machine-generated tag.
  • Collision Avoidance APIs: Integrate collision sensor data with FlytNow dashboard and set thresholds to avoid collisions.
  • Drone-in-a-box API: Integrate with Drone-in-a-Box hardware. Command drone launches and landings remotely. Moreover, you can retrieve charging (or battery swapping) & docking station statuses.
  • Geofence APIs: Set a virtual boundary for drones and trigger fail-safes in case of breaches.

What enterprises & startups can build using our Drone APIs

Drone-based autonomous security and surveillance system:


Security systems can be enhanced using drones. A custom enterprise web application can be integrated with CCTV cameras & software (for example Video Management solutions like Milestone), motion sensors, and ground-based hardware using FlytNow APIs. Further, businesses can leverage these APIs for mission planning to automate the patrolling of drones, thereby reducing the need for redundant manpower. Automation need not be limited to just spontaneous patrolling; it can be scheduled for regular security patrols using APIs for DiaB (Drone-in-a-Box hardware). Absolute autonomy lies in eliminating human interference starting from time-defined missions where the drone takes off, performs the mission, and docks back into the box to charge/swap batteries. In real-life, the system will leverage a unified dashboard as a command center and our live video streaming APIs to manage the entire operation. In the event of an intrusion, it will operate in the following way:

  • An intrusion alert goes off in the main dashboard. API integration with FlytNow triggers the drone system.
  • The system creates a waypoint mission for the drone. A drone automatically launches from a DiaB station and goes to the point of interest.
  • The drone begins live-streaming, and the human operator identifies the intruder from the live drone footage. The operator uses the payload APIs of FlytNow to maneuver the camera and look around. AI-detection technology can also automate intruders and help track in the video.
  • On completion of the mission, the drone automatically returns back to the docking station.

Drones-based medical delivery system:


Companies have been actively building & deploying drone systems that can deliver critical medical payloads to remote locations. A US-based company called Zipline is one such company that has extensive operations in the African nations of Ghana and Rwanda. They rely on a centralized system where they operate from a medical warehouse and all incoming requests for blood are fulfilled via drone delivery. The highlights of the system are that the drones can fly autonomously from the warehouse to the delivery point, drop the payload, and return back to the base. Following are some APIs of FlytNow can be used to build a similar system:

  • Mission Planning APIs: To set the route of a drone to the delivery location.
  • Navigation APIs: To take control of a delivery drone remotely in case of an emergency.
  • Vehicle Setup APIs: To run a diagnostic of a drone before sending it off to a mission.
  • Video Streaming APIs: To remotely monitor a delivery mission through a video feed.
  • Geofence APIs: To restrict the area of operation of the drones.
  • Command & Control APIs: Send drone to a GPS location, control heading remotely.
  • Collision Avoidance APIs: To get data from the onboard sensors and set thresholds to avoid collisions.
  • Payload API: To control the payload dripper or actuators

Drone-based emergency response system:


Leveraging the FlytNow APIs, a response system can be built that is fully autonomous and integrated with a Computer Aided Dispatch system like 911. In the event of an emergency, an operator using such a system can dispatch a drone to survey the situation. On receiving the command, a drone will launch and fly to the location autonomously and begin acquiring data using its onboard camera. The operator can share the live feed of the drone with the first responders who can plan a better response.

The APIs used in this case would be similar to the delivery system mentioned above, with a focus on BVLOS capabilities and live-stream of data.

Summary


In this blog, we introduced the APIs of the FlytNow platform and the benefits of using them. In a nutshell, FlytNow is built for developers building applications to manage enterprise drone operations with BVLOS capabilities. Our extensive and reliable set of APIs is a result of our experience working with commercial drones for almost a decade. Originally published on FlytNow

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M-Eagle A2 long endurance vtol drone

M-Eagle A2 long endurance vtol drone equips with Herelink 2.4Ghz HD video transmission system, which is an all-in-on data video and rc system with max range 20km.
Max payload 1kg, sony A7R mapping camera, 10x zoom dual sensor camera and multispectral camera are recommended.
With Zeus Power 30000mah sem-solid battery, max endurance can ben 2 hours(no payload). 
#Vtol drone #Long
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3D Robotics

From NewAtlas:

No matter how good we humans have made something, chances are nature did it better millions of years ago. Rather than compete, it’s often better to tap into the natural version – and that’s exactly what scientists have done with the Smellicopter, a drone that uses an antenna from a live moth to sniff out its targets.

We humans don’t tend to rely on it too much, but to moths, the sense of smell is crucial. They use their feathery antennae to scan for the smell of flowers, mates, and other important things, so they’re incredibly sensitive – a single scent molecule can trigger a cascade of cellular responses, very quickly.

Realizing that, engineers at the University of Washington hooked up an antenna from a live moth to a suite of electronics, and used it to guide a drone towards specific scents. They call the end result the Smellicopter.

“Nature really blows our human-made odor sensors out of the water,” says Melanie Anderson, lead author of the study. “By using an actual moth antenna with Smellicopter, we’re able to get the best of both worlds: the sensitivity of a biological organism on a robotic platform where we can control its motion.”

The antennae are sourced from the tobacco hawk moth, which are anesthetized before removal. Then, small wires are inserted into each end of the hollow antennae, which can measure the average signal from all of its cells. The antenna only stays biologically and chemically active for up to four hours after being removed from a live moth, but the researchers say this could be extended b storing them in the fridge.

The Smellicopter is a drone that uses a live moth antenna as a smell sensor The Smellicopter is a drone that uses a live moth antenna as a smell sensor
Mark Stone/University of Washington

To test out the cyborg’s smelling prowess, the team placed it at the end of a wind tunnel, and had it compete with a standard artificial odor sensor. When either a floral scent or the smell of ethanol was wafted down the tunnel, the antenna reacted faster than the other sensor, and was able to cleanse its palette quicker between smells.

For the next experiments, the researchers then mounted the electronics onto a small, common quadcopter platform, which was equipped with two plastic fins to keep it oriented upwind, and four infrared sensors for obstacle detection and avoidance.

Finally, the Smellicopter was driven by an algorithm that mimicked how moths search for smells of interest. The drone starts off by drifting to the left for a set distance, and if it doesn’t detect a strong enough scent, it then moves to the right for a while. When it detects a smell, the drone will then fly towards it. If at any point those infrared sensors pick up an obstacle within 20 cm (8 in), the Smellicopter will change direction.

“So if Smellicopter was casting left and now there’s an obstacle on the left, it’ll switch to casting right,” says Anderson. “And if Smellicopter smells an odor but there’s an obstacle in front of it, it’s going to continue casting left or right until it’s able to surge forward when there’s not an obstacle in its path.”

The team says the device could be useful for seeking out plumes of scent, such as chemical signatures from explosives or the breath of people trapped in rubble. That way, the drones could help in situations where it may be dangerous to send humans to investigate. And it might not be the only insect hybrids doing so – other studies have experimented with using cyborg cockroachesdragonflies and locusts for similar purposes.

The research was published in the journal IOP Bioinspiration & Biomimetrics

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BatMon enabled Smart Battery available for purchase

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You can now buy BatMon enabled smart batteries off the website, saving you the engineering time for assembling your own. 

BatMon enabled batteries can talk with Ardupilot, Pixhawk, Arduino and ROS. BatMon enables safe and robust operation of robot using smart batteries. Batteries are currently shipped ground within contiguous United States.

Smart Battery features

  • 2-12S LiPo/Li-Ion Battery support
  • SMBUS based data protocol. Work out of the box with Ardupilot, Pixhawk*, Arduino, Raspberry Pi etc
  • 150A burst/ Optional 240A burst
  • Accurate current monitoring 
  • Accurate individual voltage monitoring
  • OLED screen for monitoring and outdoor viewing
  • Buzzer usable for warning
  • Firmware upgradeable with optional programmer

Buy Smart Battery 6S 4500mAh

Get custom BatMon enabled Smart Battery

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Future of Drone Package Delivery

Global Drone Package Delivery Market is Growing Due to Soaring Retail and E-Commerce Sector in Urban Areas and Retail Companies Leveraging New Technologies for Rapid Delivering

Drones are unmanned aerial vehicles and are operated with different degrees of autonomy. Drone deliveries are carried out using manually operated or autonomous unmanned aerial vehicles (UAV). Drones can be used for delivering packages, food, and beverages, medical supplies, etc. The drone is used for delivering medicinal and pharmaceutical products, food and beverages, etc. Drones have up to 4-8 propellers and are rechargeable. Drones are used for packaged delivery because these UAV’s can travel through congested streets and make sure that the product is delivered quickly.

According to the research report, the global Drone Package Delivery Market was estimated at USD 530 million in 2019 and is expected to reach USD 6,051 million by 2026. The global Drone Package Delivery Market is expected to grow at a compound annual growth rate (CAGR) of 42% from 2020 to 2027.

Drones were mainly developed for military applications in 2006. However, several federal authorities have allowed the use of drones for business purposes. In 2006, the U.S. Federal Aviation Administration issued the first permit for the use of drones for commercial purposes. Companies operating in industries like retail, logistics, and food and beverages are leveraging the use of drones for package delivery, as drones can travel faster than delivery vans through congested areas. Drones can ensure a quick delivery by flying over buildings and various types of obstacles. Drones are being used by companies for quick delivery in areas where delivery cars and vans are unable to reach. In 2019, Prime Air received permission to fly R&D missions in specific flight areas. Also, United Parcel Service (UPS), in 2020, partnered with Wingcopter to design and develop a delivery drone, which is expected to be used by United Parcel Service (UPS) for logistic purposes. In October 2019, Flight Forward, a subsidiary of United Parcel Service (UPS), was granted permission to operate a drone airline. Logistic and retail companies are looking for drones that can travel for longer durations and deliver packages to real-time locations. Further, many logistics companies are working with drone companies to develop drones with long ranges, ensuring delivery to rural areas.

Top Companies in Drone Package Delivery Market

Major companies operating in the global drone package delivery market are Edronic, FedEx, Zipline, DHL International GmbH, BIZZBY, Flirtey, Flytrex, Drone Delivery Canada Corp., Amazon.com, Inc., Boeing, Matternet, Inc., United Parcel Service of America, Inc., Cheetah Logistics Technology, Altitude Angel, Workhorse Group Inc., Airbus S.A.S., Wing Aviation LLC, DroneScan, Skycart Inc., and Fli Drone. Major companies operating in the global drone package delivery market such as Amazon.com, Inc., United Parcel Service of America, Inc., Wing Aviation LLC, DHL International GmbH, and FedEx accounted for a market share of nearly 30% in the global drone package delivery market in 2019.

Request Here to Download Free Sample Report on Drone Package Delivery Market

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Customizable open source smart charger (2-12s) : BatCha

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We built BatMon for making smart batteries. BatMon can now talk with Ardupilot, Pixhawk, and ROS and enables safe and robust operation of robot using smart batteries. But there is a missing piece, a smart charger that can safely charge batteries with a peace of mind for customers.

So, we are building exactly that, and a lot more, to future proof your workflow as they scale. Below is a sneak peek of the most foolproof futureproof smart charger we know of: BatCha

BatCha features

  • Opensource Firmware
  • 2-12S LiPo Charge
  • Smart battery data interfaces:
    • I2C: Two wire based protocol such as SMBUS
    • CAN BUS: Two wire differential pair robust protocol for UAVCAN, CANaerospace etc
    • LIN BUS : Single wire communication protocol for micro drones
  • Two ports. Charge two battery simultaneously.
  • 500 watt total power. Shareable to either ports
  • Max charging current per port: 20A
  • Measures battery temperature and voltage for safe charging limits for each battery
  • Optional: expansion puck to charge 4x smart batteries per port
  • Optional: Puck for 2-12S dumb battery charging and balancing
  • USB interface for monitoring and controlling charge workflow from PC
  • Optional: Integrated Raspberry Pi Compute module for Wi-Fi and Ethernet connectivity
  • OLED screen for monitoring and outdoor viewing
  • User Interface engineered for speed and safety. Plug-in to charge-start in less than 4 seconds
  • Zero effort to train customers on battery charging and safety. Customer have two options: Regular charging / Fast Charging
  • Mechanical design optimized for robustness and repairability

Sign up here for more details.

 

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 Arrows Hobby Marlin 64mm EDF PNP  RC Airplane

The Arrows Marlin 64mm EDF is an ALL NEW design with the beginner to intermediate pilot in mind. This plane has a more robust fixed landing gear than most, to handle bumpy landings. More importantly it is the only plane in its class to have flaps to shorten takeoff, and to make approaches and landings more like those of a high wing trainer. The 3150kV motor combined with a 40 Amp ESC, and a powerful 64mm 11 blade EDF, ensure plenty of power for takeoff and maneuvers. The fan sounds like a real turbine.

This plane basically has eight screws and some servo connections to complete assembly. No glue is necessary, and because we use 8 servos we are not running a lot of control rods around. Even the nose wheel has it's own servo. Flap and aileron connections are made with ball linkages, for greater strength at higher speeds. A latch type canopy makes in flight canopy loss a thing of the past.

If you are looking for a first EDF to try, or are looking to move up to a EDF without spending a bundle, this plane is for you.

source from:

https://www.arrows-hobby.net/arrows-hobby-marlin-64mm-edf-jet-pnp-rc-airplane.html

Features

  • Ample thrust courtesy of dual out-runner 64mm 12-bladed fans, dual 40A ESCs and 6S power.
  • Highly realistic functional and scale features.
  • CNC machined-metal shock-absorbing undercarriage.
  • Electric retracts with over-current protection.
  • High quality rubber tires.
  • Bearing-equipped full-flying horizontal stabilizer.
  • Preinstalled ball-linked linkages for precise surface movements.
  • Sleek aerodynamic airframe
  • Screw together assembly
  • Flaps
  • Ball linkages
  • Latch type canopy
  • Ultra durable EPO foam
  • The perfect beginner jet!
  • Park, School, or AMA field
    Arrows Hobby Marlin 64mm EDF PNP  RC Airplane Arrows Hobby Marlin 64mm EDF PNP  RC Airplane Arrows Hobby Marlin 64mm EDF PNP  RC Airplane  Arrows Hobby Marlin 64mm EDF PNP  RC Airplane Arrows Hobby Marlin 64mm EDF PNP  RC Airplane Arrows Hobby Marlin 64mm EDF PNP  RC Airplane
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Rpanion-server 0.7 Released

8183230679?profile=RESIZE_710xRpanion-server 0.7 has been released!

Rpanion-Server is an Open-Source software package for a managing the companion computer (such as the Raspberry Pi) connected to an ArduPilot or PX4 flight controller. It will run on most Linux-based systems.

Rpanion-Server consists of a network manager, MAVLink telemetry routing, flight logging and a low latency video streaming server. All can be managed via a web-based user interface.

Documentation and pre-built disk images for the Raspberry Pi are available at https://www.docs.rpanion.com/software/rpanion-server. Source code is at https://github.com/stephendade/Rpanion-server

New in 0.7 is:

  • Support MJPEG cameras for video streaming
  • Added button to disable all Wi-Fi adapters
  • GUI overhaul, using the Bootstrap framework
  • Various bug fixes

 

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Mavlink3DMap

Mavlink3DMap is a semi-simulator that communicates with Ardupilot SITL vid  UDP and websockets to plot vehicles location and attitudein a 3D environment. It uses HTML, javascript and some 3D and physics libraries to work. The world semi is used because this tool can integrate with any Ardupilot SITL  regardless of its engine, and read vehicles location and plot it in a 3D environment. So all physics and logic computation are performed by SITL. However, one can add 3D objects and some physics using moderate developing effort. The tool can also track multiple drones given each drone has its own SYSID_THISMAV

 

Below is the famouse flying field in Australia where SITL flies there by default. As we can see the map is displayed in 3D, and from multiple views. A camera is attached to drone and can be controlled via buttons. Another camera is following the drone.

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The above map uses flat landscape, i.e. the map is created on a 2D Plan, but the environement is a 3D environment.

The below image shows one step forward, it creates 3D mesh of the map and adjust drone absolute altitude accordingly based on drone home location.

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This project is in its very early stage, it is free and open-source and can be accessed here. I hope people start to use and contribute to it.

 

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To simulate the practical applications of Sky Fury VTOL, such as mapping, search, rescue, or surveillance. YANGDA made one testing and recorded the whole flight.

Test records:
* Battery: 2x Tattu 25000mAh 6S1P lipo batteries
* Payload: 1.2KG iron block
* Weather: Cloudy to light raining
* Flight mode: Auto at 300m radius
* Voltage when take-off: 52v
* Voltage when landed: 44. 1v
* Flight time: 202minutes
  
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The threat from physical intrusion still remains one of the top concerns in both commercial and non-commercial contexts. According to a report from Markets and Markets, the video surveillance market, which includes both hardware and software, is presently at USD 45.5 billion and expected to reach USD 74.6 billion by 2025.

Over the years, there have been many advancements in optics and detection systems but limitations still exist in the conventional ways of using them. To overcome these limitations, security stakeholders are now incorporating drone technology in their operations.

In this blog, we will talk about drones and the FlytNow solution for perimeter security.

What is perimeter security?

automated perimeter security

Perimeter security is an active barrier or fortification around a defined area to prevent all forms of intrusion. Modern security systems are an amalgamation of sophisticated hardware and software that generally include cameras, motion sensors, electric fencing, high-intensity lights, and a command center to manage them all. 

Challenges with conventional security systems (without drones) for perimeter security

Below are some of the drawbacks and limitations that are inherent in a conventional security system:

  • CCTV cameras and motion detectors are stationary, thus leaving plenty of room for blind spots.
  • Patrolling requires human guards - for larger areas, this is the least efficient way of securing a premise.
  • Response to an intrusion is delayed since a human responder has to reach the location.

Benefits of using drones for perimeter security

Drones have the following advantages over a conventional security system:

  • Drones are mobile flying machines that can go to any location quickly, with HD camera(s), thus eliminating blind spots.
  • Drones can also be equipped with a thermal camera(s) which are useful during nighttime surveillance.
  • Drones can be automated for patrolling using the FlytNow cloud-connected solution and commercially available DiaB (Drone in a Box) hardware.

Note: A DiaB is box-like hardware that houses one or more drones. The hardware keeps the drone flight-ready (24x7) and also automates the launching and docking processes of a drone.

Drones automation for security

For perimeter security, drones are generally used in conjunction with Drone-in-a-Box hardware and a fleet management system that powers the command center. Other security system hardware, including CCTV cameras, motion sensors, etc. can complement the drones and can be connected to the command center, thus integrating into a complete system. In a real-life scenario, such a system might work in the following way:

Drone Command Center

  • An intrusion is detected by one of the CCTV cameras in an area under surveillance. 
  • The command center receives the alert and initiates a drone launch. 
  • A connected DiaB receives the launch request and releases a drone. 
  • The drone flies to the location where the intrusion was detected and begins streaming a live video feed. 
  • An operator maneuvers the drone to cover all blind spots.
  • On finding the intruder, the operator has the option to warn him/her about the transgression using the drone’s onboard payload such as a beacon, spotlight, speaker, etc.

To know about the kind of drones and sensors that can be used for security and surveillance operations please refer to our Drone Surveillance System: The Complete Setup Guide.

How FlytNow enabled perimeter security?

FlytNow is a cloud-based application that helps in managing and controlling a fleet of drones from a unified dashboard through automation, live data streaming and integration. In the context of perimeter security, this translates into a command center that connects drones with the traditional components of a perimeter security system.

6 Reasons to use FlytNow for perimeter security

#1 Easy Setup: FlytNow is cloud-hosted i.e. a user can access the application from any standard web browser, without any complicated server setup. Connecting the drones with the system is also easy and is done using FlytOS.

#2 Unified Dashboard: FlytNow features an advanced dashboard that shows the following:

  1. A live map showing the real-time location of all the drones. The map can be customized to show points of interest, and virtual geofence, and CCTV zones.
  2. On-screen GUI controllers and keyboard & mouse support to control a drone. This allows an operator to easily maneuver a drone to a point of interest from the command center.
  3. Multicam support that allows streaming video feeds from more than one drone.
  4. Different view modes that allow an operator to switch between RGB and thermal mode. In the thermal mode, there is the option to switch between different color pallets, allowing a user to identify warm objects against different backdrops.
  5. Pre-flight checklist which is a list of checks the system prompts an operator to perform before initiating a drone launch.

#3 Live Data Sharing: An operator can share the live video feed from a drone directly from the dashboard. The feature can be used to share video with the police or other remote stakeholders.

Using Drones for Perimeter Security

#4 Advanced Automation: Operating drones through manual control is quite an inefficient way to use drones. Instead, automation should be employed to perform activities like security patrols. FlytNow comes with an advanced mission planner that allows a user to define a path for a drone to follow and save it as a mission. The mission can be executed periodically, thus making a fleet of drones perform automated patrolling.

FlytNow for perimeter security

#5 Add-on Modules: FlytNow provides add-ons to make a drone intelligent; this includes precision landing over a computer-generated tag, obstacle detection, and object identification. These add-ons enable a drone to autonomously fly to a location, identify a threat, and return to the DiaB hardware.

#6 Drone-in-a-Box Hardware Support: The functions of DiaB hardware, in the context of perimeter security, can be broadly classified into four categories:

  1. Securely house a drone.
  2. Keeping the drone fully charged all the time.
  3. Initiate a drone launch.
  4. Successfully dock a returning drone.

Summary

In this blog, we discussed the concept of perimeter security, the limitations of conventional security set up, and how these limitations can be overcome using drones. Then we covered how drones are actually used for aerial patrols and 6 reasons why FlytNow is an ideal solution for automating drones for perimeter security.

There are plenty more reasons to use FlytNow for perimeter security that you can find out by signing for our 28 days free trial.

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Wide-ranging interviews with chief executives of the major companies operating in the global agriculture robots and drones market, the primary research analysis concludes that the global agricultural robots and drones market to witness exponential growth of nearly 18.9% over the forecast period.
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