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Insights on AI video analytics and smart security
Facial Detection
Facial detection is the computer vision task of finding the location of every human face in an image or video frame — typically represented as a bounding box. It is the first step in every face recognition, age estimation, or facial analysis pipeline.
Convolutional Neural Network
A convolutional neural network (CNN) is a class of deep neural network designed to process grid-structured data — most commonly images and video. CNNs are the dominant architecture behind face recognition, license plate reading, object detection, and virtually every other modern computer vision task.
ALPR
ALPR — Automatic License Plate Recognition — is the computer vision technology that reads vehicle license plates from camera video in real time and converts them into searchable text. It is also commonly called LPR (license plate recognition) or ANPR (automatic number plate recognition) depending on the region.
AI Training Data
AI training data is the collection of labeled examples — images, video clips, and annotations — that a machine learning model studies to learn its task. In video analytics, the quality and diversity of training data is the single biggest factor determining how well a model works in the real world.
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.
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