Computer Vision on the Edge: UAV Crop Monitoring
Published on
Running complex computer vision models directly on unmanned aerial vehicles (UAVs) presents unique challenges due to limitations in processing power, memory, and energy consumption.
This post discusses the approach taken in the Agrocopter project, focusing on:
- Model optimization techniques (quantization, pruning).
- Hardware considerations for edge AI.
- Real-time data processing pipelines.
Further discussion on specific algorithms and results will follow.