A-Canelo/Insect-inspired-image-recognition-CNN
An image recognition Deep Learning model based on the visual system of fruit fly Drosophila, FlyVisNet, for embedding on a crazyflie 2.1 drone STM32 and ai-deck GAP8 to perform an autonomous flight.
This project helps drone operators enable miniature drones to autonomously recognize specific shapes (Collision, Rectangle, Square) in their environment and react accordingly. It takes camera input from the drone and outputs classifications that guide its flight path. Operators who need drones to perform basic object recognition and navigation without constant human input would use this.
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Use this if you need to program a Crazyflie 2.1 drone with an AI deck to perform autonomous flights based on simple visual cues like identifying squares, rectangles, or potential collision points.
Not ideal if you require recognition of complex objects, highly precise navigation, or deployment on drone hardware other than the Crazyflie 2.1 with AI-deck.
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Aug 05, 2024
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