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credibly hard to do .

We will also aim to solve anoma- ly detection , so that when a cam- era is spray painted one night so bad actors can breach the premises , the AI / ML algorithms will realize that it is dark long past the amount of time it ’ s sup- posed to be dark , and assess the possibilities for why that is and react .

Another example would be time-distance violations – if the system reads that I ’ m in San Francisco one minute and my badge shows up in New York five minutes later , something is very wrong and alerts need to go out or retraining needs to happen .

Secure . Scalable . Better Visi- bility .

• Install in less than 10 minutes

• Plug-and-play , no NVR / DVR necessary

• Cyber secure architecture

• Reduce your IT investments

• No hardware required

• Powerful AI analytics

• Rapid Search

• Scales to an unlimited num- ber of locations and cameras

The Ethical Dilemmas of AI

Facial Recognition is generating and will continue to generate , ethical dilemmas . It ’ s entirely reasonable for citizens to expect a judicious measure of priva- cy in public spaces , as well as on their own property perty .

Equally , law enforcement has a right to see faces when a crime has been committed , and our