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A US Robotics company is adding new artificial intelligence anomaly detection capabilities to its autonomous Scout System drone. A leading US provider of private wireless data, drone and automated data has announced that the new containment capabilities will enable oil and gas customers to minimize environmental risks, clean-up costs, fines, and litigation expenses.

Suasnews.com reports that the loss of containment analytics feature will accelerate early detection and location of crude oil leaks before they become critical to customers by providing frequent, autonomous inspections of oil and gas pumpjacks, heater treaters, tanks, pipes, pumps, and more via the autonomous Scout System. Autonomous drones have become a crucial component to ensuring safety and conducting regular inspections within the oil and gas industry.

Circa 2019 😀 What a fun mind controlled toy drone 😗


How much more fun could drones be if you got fiddly hand controllers out of the way and flew them with your mind? That’s the question EEGSmart poses with its UDrone mini-quad, which responds to brainwaves and head movements instead of thumbsticks. It’s not perfect, but it does give a glimpse of a mind-controlled future.

The Udrone itself is fairly unremarkable; it’s a lightweight mini-quadcopter with 2-inch props, nice plastic bumpers to save it from damage when it bumps into a wall, and an 8-megapixel, 1080p-capable camera. You can fly it using your mobile phone, in which case it works like most similar small quads, but also has some smarts under its belt with face tracking, subject tracking and gesture recognition.

These include aquatic drones that can be programmed to scoop up floating debris from the surface of rivers, and buggies that use artificial intelligence (AI) to search for and pick up litter for use on beaches.

Scientists are also hoping to scale up the use of magnetic nano-scale springs that hook on to microplastics and break them down.

MailOnline takes a closer a look at some of the technologies currently being used to reduce the man-made debris in our oceans, and those that are still in development.

In an effort to increase livestock productivity, Rwanda is using drones to deliver aid to farmers. Road transportation is proving to be challenging.

#Rwanda #Aid #Farmers.

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As organizations increasingly look to employ drones for everything from deliveries to pest control to surveillance, safety in the skies is becoming an issue that demands more attention. Regulations around drones and their flight vary widely between countries and regions, but to really start scaling the technology there will need to be more standardization in terms of who can fly where, how fast, how high, etc.

The UK is taking the lead on drone mobility, with an announcement this week of plans to build a 165-mile (265 kilometer) “drone superhighway.” Project Skyway is being led by Altitude Angel, a UK aerospace and unified traffic management company, and involves a consortium of other stakeholders, including British Telecommunications Group.

So how do you build a highway in the air? Picture a corridor of airspace running between various cities, with drones zooming back and forth in the designated segments of sky. The differentiating factor here is that rather than each drone using its own onboard sensors to navigate the route, they all tap into a ground-based network of sensors. This network brings together data from multiple sources to create a real-time, high-resolution moving map of the airspace and guides drones to their destinations.

BEC was kind enough to share a parts list of everything used to create this project. It’s operated primarily by a Raspberry Pi Zero 2 W, with most components housed neatly inside an acrylic cylinder. It’s driven by a drone propeller alongside a couple of Pololu 2,130 DRV8833 Dual H-bridge motor drivers. The sensors include both a pressure sensor and a distance sensor, while a Lego Rechargeable 9V Battery Box supplies the power with the assistance of a Pololu 2,123 S7V8F5 5V voltage regulator.

The Raspberry Pi runs Raspberry Pi OS, while the code used to operate the submarine functions is handled using a custom Python script. BEC explains that Thonny was used to run the Python code, which is open-source and available for anyone to explore.

If you want to recreate this Raspberry Pi project for yourself or make something similar, check out the full blog post shared on the official Brick Experiment Channel blog. We also implore you to check out the video shared on YouTube for a demo of the submarine in action.

Designed for precision agriculture and environmental management use cases, the P4 Multispectral drone combines data from six separate sensors to measure the health of crops. It can be used to monitor everything from individual plants to entire fields, as well as weeds, insects, and a variety of soil conditions.

The P4 Multispectral drone is compatible with standard industry workflows including flight programming, mapping, and analytics software from DJI and other leading providers. Using the DJI GS Pro application, you can create automated and repeatable missions including flight planning, mission execution, and flight data management. Data collected can be easily imported into DJI Terra or a suite of third-party software including Pix4D Mapper and DroneDeploy, for analysis and to generate additional vegetation index maps.

The drone was first announced in 2019.