Iranian hackers linked to the IRGC have been accused of meddling in US elections, hacking official accounts and data falsification campaigns.
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American engineer Caleb Olson created the Poopcopter drone for searching and cleaning dog excrement using artificial intelligence and machine learning technologies.
Poopcopter uses computer vision and machine learning algorithms to find and collect dog poop in the backyard. The idea for the project came to the inventor after he developed robotic systems to monitor his own dog Twinkie. At first, he used cameras and a laser robot to detect excrement, but this solution required manual intervention. So Olson continued to work on automating the process, which led to the creation of the Poopcopter. The drone scans the area, lands next to the waste and collects it using a special container with rotating flaps.
Caleb Olson began developing his machine learning system for monitoring dogs and refined the technology to the level of automating waste collection. The Poopcopter isn’t on the market yet, but it’s another step toward using drones for everyday tasks.
At the moment, the Poopcopter exists only in the form of a prototype, but it has already aroused the interest of potential buyers. Olson hopes that his invention will change the process of cleaning pets, and the waste collection service will be able to use similar drones to automatically collect excrement in the future.
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