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AI integration improves video surveillance strategies by allowing for instant footage review, greater accuracy, characteristic detection, and much more.
Key Takeaways:- Instant footage review
- Greater accuracy
- Characteristic tracking
- Better insights and analytics
- AI constantly learns and improves
- Time and money savings
1. Instant footage review
Reviewing a lot of video surveillance footage has been a challenge for security officials for a long time. They may not know exactly what time an incident occurred or are looking for one specific person who entered a space over a many-hour period. Looking through hours and hours of recordings drains time and other resources, and the right answers may never be found. With AI, it’s much easier to evaluate footage. Recordings can be reviewed in mere seconds, so answers are provided immediately. It’s faster to sift through everything and the AI can instantly alert people to when a certain trigger occurred in the footage, so security personnel can go straight to the right spot in time.2. Greater accuracy
AI allows surveillance technology to be more accurate than ever. Footage can be analyzed more effectively when the picture is clear, and analytics can be gathered directly from the images. Smart cameras can identify objects like vehicles and license plates based on a set of criteria, so they can be deployed in spaces like parking lots. With human analytics enablement, security managers can monitor behaviors, record foot traffic counts, and watch for suspicious activity. This is all done with automation and AI that limits the number of mistakes made in these key processes.3. Characteristic tracking
Technologies like facial recognition can be points of contention with video surveillance — many wonder if people in public spaces should be constantly watched and tracked. However, this technology makes it possible for officials to locate wanted individuals or identify someone in a crime based on video footage. Managers can be alerted automatically when a certain characteristic is detected or when a threat is present. This is a significant improvement over what’s possible with surveillance that isn’t backed by AI. Facial recognition and other biometric technologies continue to improve, so accuracy will only get better when used in a video surveillance strategy.4. Better insights and analytics
AI makes it possible to gather and review key video insights and make better decisions based on that data. Using video management software (VMS) powered by AI can help people automatically detect a number of potentially dangerous situations, including:- Security risks
- Suspicious behavior and individuals
- Banned objects
- Emergencies like fires, floods, and potential shooter situation
