News
Insights on AI video analytics and smart security
AI Model Accuracy
AI model accuracy is a measure of how often a machine learning model produces the correct prediction. In video analytics, it is one of the most marketed and most misunderstood metrics — a 99% accuracy number on a slide can mean very different things in different deployments.
AI Inference
AI inference is the process of running a trained machine learning model on new input data to produce a prediction — in video analytics, that means running a face recognition, object detection, or other model on a live camera frame to detect what's in it.
Video Management System
A video management system (VMS) is software that connects to IP cameras, records and archives their footage, and provides operators with tools to view, search, and act on video — all from one unified interface.
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.
Ready to Get Started?
Fill in the form and our team will get back to you shortly.