Deep Learning is the most popular and the fastest growing area in Computer Vision nowadays. Since OpenCV 3.1 there is DNN module in the library that implements forward pass (inferencing) with deep ...

The deep learning algorithm is trained to recognize new objects and improve its accuracy over time. ... Here is a the system design for YOLO object detection using python and OpenCV-Data Collection ...

Face detection applications using digital photos are critical in the face recognition process. This application is used in biometric recognition systems, search systems, and security systems.

This can be done by applying a deep learning for computer vision. We recommended an object detection and recognition for real-time video by using deep learning technique and OpenCV libraries. It ...

AI and Deep Learning for computer vision projects has come to the masses. This can be attributed partly to the community projects that help ease the pain for newbies. [Abhishek] contributes one su… ...

Here, we only need RPi 4 and Pi camera module with OpenCV and Tensorflow installed on it. OpenCV is used here for digital image processing. The most common applications of Digital Image Processing are ...