Computer Vision Restoration 101: Video and Imagery Challenges

Computer vision (CV), AI and deep learning promise to revolutionize automation in scores of industries and applications. A major problem of AI systems trained on pristine imagery are errors due to the inability to interpret real-world, unconstrained environments where video is less than perfect. According to IEEE, “To halve the error rate, you can expect to need more than 500 times the computational resources.” ProHawk AI contends this promise to revolutionize automation cannot be achieved if the quality of the video and images is poor. Watch this training to learn more