A hybrid human-AI system for more efficient security

The cutting-edge system improves the accuracy of video surveillance and cuts operating costs

Spotted: In the midst of a war for talent, security costs in real estate are rising. The good news, however, is that investment – including in new technologies – can help to keep these costs under control. AI is one such technology, and one area where it can help is in reducing the costs associated with monitoring security systems.

Animals, moving objects, and even the weather can trigger false alarms and, if these false alarms become repetitive, it can distract from real threats and necessitate large, labour-intensive, and costly monitoring centres. To combat this, startup promiseQ is harnessing advancements in AI to centralise video surveillance management and filter out false alarms.

Using computer vision and generative AI, the startup forwards only real threats to its customers. And on the rare occasions where the AI is uncertain whether a threat is real or false, the footage is forwarded to the company’s remote ‘crowdforce’ of expert human reviewers. The hybrid human-AI system has a fast learning rate, with the human feedback improving the quality of the AI continuously.

Meanwhile, a ‘Camera Integrity Check’ feature prevents equipment downtime, while ‘Privacy Zone Control’ enables companies to set parameters and exclude certain zones from surveillance. The system’s ‘Device Tree’ feature further enables companies to monitor multiple sites and cameras from a single dashboard. Finally, a reference picture of an area can be uploaded to the system, which is then continuously compared to the live footage to identify any deviations in real time.

Springwise has spotted other innovations boosting safety, including a security robot on wheels and computer vision tech that helps to prevent workplace accidents.

Written By: Matthew Hempstead