A smart video reasoning and analytics solution to real-time detect and track across a network of CCTVs.
“Everything we hear is an opinion, not a fact. Everything we see is a perspective, not the truth.” — Marcus Aureliu
•Widespread deployment of surveillance cameras, but low utilization and inability to analyze/convert into structured image event data.
•CCTV video surveillance heavily relies on manual intervention, making it difficult to promptly detect events.
•It is challenging to identify anomalies from a single camera view, leading to potential misjudgments and false alarms.
•The large volume of data makes real-time detection, alerting, and tracking challenging.
•Post-event investigation involving multiple camera footage is time-consuming and often ineffective.
The mission of STAI is to continuously analyze a sequence of actions from vast real-time video data, identify meaningful complex events, understand the context of these events, and address four key security-related questions pertaining to time and space.”
Common pain points in recognition:
•Facial recognition: Privacy concerns.
•Non-facial recognition: Unable to track beyond the camera’s field of view.
•The security loophole lies in time-consuming and labor-intensive post-event search and tracking.
STAI Technology Architecture
•Analyze hundreds of CCTV videos in real time, using AI to construct event’s spatial and temporal data for complex events detection
•Via Live Data Solution, location and time data (spatial / temporal) can be stored and prepared for further analysis
