Roadmap: Computer Vision
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Requirements to Tasks
QR Scan (Task 2): Allows for autonomous takeoff and message reading
Implement QR Scan
Test QR scanner (Use the QR image from the CONOPS) using DecklinkSrc input
Take a frame as input from DeckLink SRC
Send information extracted in QR code to aircraft
update ground station to show QR Questions (ex. T-shirt colour, hair colour and item carried?)
2. Detect and high light intruder
a. Train the YoloV5 model for Aerial view of the person.
i. Prepare dataset for training (draw out the bounding box labels on the image)
ii. Prepare benchmark dataset
iii. Train and test each dataset independently
iv. Combine datasets and retrain, evaluate performance
v. extract the model weights and deploy the detection on the local machine.
vi. integrate with target acquisition code
b. Display video output to ground station
c. Export video to USB stick
d. Track the intruder for 500m:
i. implement the tracking module
e. Draw the intruder path on the map of the competition area
i. Get the map from Google Satellite
ii. Use the Geolocation module to get the sequence of lat and long data of the path
iii. Draw the path of the Google Satellite Image
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