Police in smart cities can maintain a hawk-eye vigil using public safety solutions. Since they automate a number of processes, it will reduce the need to deploy too many personnel.
Security alerts in smart cities are not uncommon. It requires the deployment of a huge police force at strategic places like bus depots and railway stations. However, India’s public safety solutions can automate many processes.
Automation in public safety solutions reduces the requirement of extra security personnel in a smart city. These solutions can be configured to define the rules. Railway track intrusion, entry to a prohibited zone, etc., can trigger an alert notification for police personnel.
Internet Protocol or IP cameras provide real-time footage of crowded places. Live feeds from these cameras will help the police personnel to take timely action. The user interface of these solutions enables the personnel to get an overview of the situation at any time.
The number of police personnel required to maintain a hawk-eye vigil will be lesser if these public safety solutions are used. A three-layered security cordon is set up when there is a security alert.
While the red zones are managed by commandos, the yellow zones can be manned with the help of AI analytics software. Image analysis will help police personnel identify suspicious objects or people.
Artificial Intelligence has brought a paradigm shift in the way security is managed. AI-based Video Analytics simplifies and eases the burden of repetitive and tedious tasks of long-hour video observation by humans. Going through long footage will not require hours.
Face recognition software can also be integrated with the CCTV cameras. This software will help identify a suspect. It uses a database of suspects to accurately identify a person.
Crowd behavior analytics software allows police personnel to detect overcrowding easily. Security personnel can quantify the number of people in each direction.
Source referred
https://in.nec.com/en_IN/en/global/solutions/safety/criticalinfrastructure/pdf/NEC_BDS_brochure_10082017_v3.pdf