Image Edge Detection The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F. Canny in 1986. Canny ...

It also uses image histogram equalization and edge detection, among other methods, to find the dusted spot. For path optimization, it uses an improved version of the A* (A-star) algorithm.

The Ceva-NeuPro-M is a high-performance, low-power Edge AI NPU (Neural Processing Unit) architecture designed to accelerate deep learning and machine learning workloads in a wide range of applications ...

Furthermore, with multiple processing engines, Ceva NeuPro-M enables the processing of multiple video streams and AI models in parallel for higher efficiency and precision.