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We are looking to build a video intelligence component that could be integrated with the camera surveillance feeds to do the following:
1. Self learning – train detector based on initial example and subsequent identification of object in the video stream
2. Face / Object Recognition and Classification – ability to train the system to recognize and classify different objects
3. Pattern Recognition / Anomalies detection
4. Video scenes recognition / classification
5. Visual / Audio signals classification
Implementation tools to consider:
We are not imposing any particular tools but this application needs to be scalable and based on free software like OpenCV library for image processing, Python language, R for math, hadoop (RHadoop) for distributed computing (if needed), mahout or other for ML, etc.
I really like the proof of concept built by Z Kalal. It incorporates the learning element into video intelligence, which makes it a powerful solution. His code is...
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