Analytics
What are the Available Analytics in Docker Stream?
Analytics that are available in Docker Stream.
Face RecognitionRecognize faces in the crowd.
Outstanding performance in various cases like hijab, ageing, surveillance angle, masked, and more.
Recognizing latency under 500ms.
Suitable for surveillance.
Count people crossing the line.
Recognize IN and OUT directions.
Track people within restricted or secure areas.
Analyze flow and density to optimize space usage and enhance safety.
Estimate the number of people in the crowd.
Suitable to monitor crowd conflict (protest, demonstration).
Monitor crowd density in real-time to prevent overcrowding and ensure public safety.
Monitor compliance with safety regulations by detecting the presence or absence of PPE.
The system provides real-time alerts and notifications for non-compliance, enhancing safety protocols.
Read vehicle plate and classify car
Support Indonesia plate.
Classify the vehicle to a car, motor, truck, or bus.
Detect unauthorized or suspicious vehicle activity in sensitive areas.
Classify the type of vehicle as a car, motor, truck, or bus
Counting vehicle crossing the line.
Monitor parking lot usage to improve availability and reduce congestion.
Detects the features and characteristics of water and monitors its movement inside a camera view.
Trends in water level changes over time.
Efficiency of early warning system in detecting flash floods.
Analysis of flood frequency and duration to understand changing climate impacts.
Real-time monitoring of smoking behavior in restricted areas.
Identification of patterns or trends in smoking activity.
Utilizes AI to detect whether individuals are using phones in specific areas.
Enhances security measures by identifying potential distractions or security risks.
Many more that can be explored
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