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Model for semantic understanding of video surveillance
use cases in smart cities Smart cities use surveillance in many practical ways. First, cameras monitor crowd density to prevent overcrowding in public spaces. Also, AI-driven analytics detect traffic congestion and optimise signal timings. Next, facial recognition systems control access to restricted areas in transport hubs. In addition, integration with IoT sensors such as air […]
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 […]
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
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 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
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 […]
