Critical infrastructure sites are highly prone to being the subject of criminal activities such as vandalism, theft, poaching, loitering and trespassing. Any downtime in these facilities due to theft or vandalism will have immense social and economic costs. From a security perspective, these locations vary in terms of size, accessibility and function.
Security systems must meet strict operational requirements as well as fit into the companies’ budgets. Currently utilized surveillance equipment is quite often inadequate and lacks the capabilities to provide real-time alerts and capture crucial events. Radar-based or legacy detection systems generate numerous false alarms due to unusual movement of foliage, various weather conditions, animal movements and other miscellaneous non-critical events. To be able to protect these facilities efficiently, security teams need to have adequate solutions for remote and onsite surveillance. A high false alarm rate increases the security cost in alarm centers and during on-site investigation.
The security team responsible for protecting remote location sites can greatly benefit from the features and functionalities provided by U-Alarm, an AI-driven video analytics solution built specifically to solve the previously described challenges.
Drastically reduces false alarm rates
Provides real-time event notification
Provides support for all IP cameras
Trained using deep learning
Uses full body detection
Identifies humans hundreds of meters away
Provides automated and centralized surveillance