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.

25
/ 100
Experimental

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.

No commits in the last 6 months.

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.

drone-automation aerial-robotics embedded-vision autonomous-navigation mini-drone-operations
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 13 / 25

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Last pushed

Aug 05, 2024

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