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Where Are We with Computer Vision?

In this article, I’d like to share a nice summary of the state of computer vision from Course 4 “Convolutional Neural Networks” from the new Deep Learning Specialization series on Coursera. Dr. Andrew Ng provides some compelling observations about deep learning and computer vision with the goal of mapping out the future of this increasingly popular technology.

AI vision system PIXEVIA Recognizes Cars and People on Video in Real-time for Smart Cities

Well functioning traffic flows, real-time parking availability, increased security and swift crime solving, cost-efficient defect detection in the infrastructure or updates on road conditions – smart cities could already be taking advantage of real-time fully automated video surveillance from drones, ground vehicles with video cameras and CCTV, Lithuanian startup PIXEVIA claims.

OpenVX – The Standard for Computer Vision

OpenVX is an API enabling software developers to add hardware accelerated computer vision capabilities to their programs. Coupled with the current upswing in the use of deep learning technologies, computer vision applications with OpenVX are becoming very important. OpenVX is an integral part of Intel Computer Vision SDK. This comprehensive toolkit is for developing and deploying vision-oriented solutions on platforms from Intel, including autonomous vehicles, digital surveillance cameras, robotics, and mixed-reality headsets.