Context-aware Video Surveillance with AI Insights

Context-aware Video Surveillance with AI Insights

Context-aware Video Surveillance: Definition and Benefits Context-aware video surveillance brings together visual feeds and extra information to create richer understanding. Also, it does this by combining CAMERA inputs with other SENSORS and metadata. Additionally, this approach lets AI reason about who, when, and where in a way that traditional systems cannot. Therefore, operators gain meaningful […]

Video understanding: from detection to understanding video

Video understanding: from detection to understanding video

Foundations of AI in Video AI sits at the center of modern approaches to video understanding. In this context, AI refers to systems that interpret visual data, reason over sequences, and provide actionable outputs. AI systems often combine CLASSICAL computer vision with statistical learning and natural language components. Machine learning and machine learning algorithms power […]

Beyond Object Detection CCTV: Advanced Video Surveillance

Beyond Object Detection CCTV: Advanced Video Surveillance

object detection in video surveillance: bounding boxes and role of object detection Object detection in video surveillance begins with an image. Systems scan each frame and generate bounding boxes and class probabilities to show where targets appear. At the core, detection is a computer vision task that helps identify and locate objects quickly, and it […]

Difference Between VLM and Video Analytics

Difference Between VLM and Video Analytics

benchmark for vlm vs video analytics: object detection metrics Object detection sits at the heart of many security and retail systems, and so the choice between a vlm-based system and classic video analytics depends largely on measurable performance. First, define key metrics. Accuracy measures correct detections and classifications per frame. FPS (frames per second) shows […]

Video analytics vs vision language models explained

Video analytics vs vision language models explained

video analytics and computer vision: Core Concepts and Differences Video analytics and computer vision sit side by side in many technology stacks, yet they solve different problems. Video analytics refers to systems that process continuous video frames to detect motion, classify behavior, and trigger alarms. These systems focus on temporal continuity and the need to […]

Video analytics: AI-driven operational insights from video

Video analytics: AI-driven operational insights from video

Explore How AI Video Analytics Transform Video Streams into Actionable Insights First, AI turns raw video into measurable data. Next, operators and managers gain context they can act on. For example, visionplatform.ai converts existing cameras and VMS systems into AI-assisted operational systems. Then, control rooms stop receiving only alerts. Instead, they receive explanations and recommended […]

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