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Insights on AI video analytics and smart security
Smart City
A smart city uses connected sensors, cameras, and data analytics — increasingly powered by AI — to improve urban services: public safety, traffic flow, waste management, energy, and citizen engagement. AI video analytics sits at the center of this because nearly every smart-city program already has cameras deployed.
RTSP
RTSP (Real-Time Streaming Protocol) is a network control protocol that clients use to establish and control streaming media sessions with servers — most commonly, to pull live video from IP cameras into a VMS or AI analytics engine.
ONVIF
ONVIF (Open Network Video Interface Forum) is the global open standard that defines how IP cameras, video management systems, access control devices, and video analytics software communicate with each other — regardless of manufacturer.
Object Detection
Object detection is a computer vision task that both locates and classifies objects within an image or video frame — producing bounding boxes around each object along with a class label and confidence score.
Neural Network
A neural network is a computational model loosely inspired by the human brain. It consists of layers of interconnected nodes ("neurons") that learn to transform input data — such as a video frame — into a useful output, like a detection, classification, or identity.
Liveness Detection
Liveness detection is the technology that determines whether a face presented to a camera belongs to a real, physically present person — rather than a photograph, video replay, 3D mask, or deepfake. It is the defense layer that makes face recognition trustworthy for access control and authentication.
License Plate Recognition
License plate recognition (LPR), also called automatic license plate recognition (ALPR) or automatic number plate recognition (ANPR), is a computer vision technology that automatically reads vehicle license plates from camera video and converts them into searchable text.
Heat Map Analytics
Heat map analytics is a video analytics technique that visualizes pedestrian movement and dwell time as color-coded overlays on a floor plan or camera view. Warmer colors (red, orange) mark high-activity zones; cooler colors (blue) mark low-activity zones. It turns weeks of surveillance footage into a single actionable picture.
GDPR Video Surveillance
GDPR video surveillance refers to the deployment of CCTV and video analytics systems in ways that comply with the EU General Data Protection Regulation. Video footage of identifiable people is personal data; when biometric analytics such as face recognition are involved, it becomes special-category data with stricter requirements.
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