Video technology makes it possible to use video surveillance not only for security and safety, but for all kinds of uses to cost-effectively monitor operations for business optimization and process improvement.
You'll compile the model and wrap it in a Python module. Finally, you'll write a simple Python script that captures images from the Raspberry Pi's camera and Computer Vision Library (OpenCV) , Mahotas , the Mathematical Morphology Image Library. (Mamba) , scikit-image (Skimage)  The following content explains the fundamental principle underlying the watershed process. Basic knowledge of general algorithms and computer science
Artificial intelligence is giving surveillance cameras digital brains to match their eyes, letting them analyze live video with no humans necessary. This could be good news for public safety, helping police and first responders more easily spot crimes and accidents and have a range of scientific and industrial applications. But it also raises serious questions about the future of privacy and poses novel risks to social justice.
Video Tutorial: 1) How to use video surveillance software? 2) How to add new video surveillance devices? 3) How to view video surveillance archive? 4) How to create Live broadcast from IP camera? 5) How to upload events to youtube automatically?