Computer Vision checklist for Security Camera

• Safety - Data should be safe even in case of theft. Opt for Network storage, not local storage
• Sight - The angle of placement for maximum coverage is more important. It should align with already developed computer vision models to reuse them. Camera viewing angle, are very different from the data that the existing models are trained on, we need more sophisticated and powerful algorithms to compensate for these shortcomings and overcome the challenges. 
• Availability - Alert mechanism should be there in case if it has any outage due to network/power. Leverage alternate options (battery / wifi / sim card)
• Models - Deploy both image processing, edge analytics, simple to complex models. Real-world situations need more than one model / algo to validate
• Scalability - Throughput needs to be there, avoiding duplicate images, detecting only when there is a change of state, sending inferences of edge analytics. Send optimal data not all the data

Leverage models built for the real world - Link

Keep Thinking!!!