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Video + text AI for security: AI video analytics
AI Video and ai video analytics for security solutions AI video analytics has become central to modern security solutions. It detects weapons, unusual behaviour, and unauthorized access from live feeds. These systems combine computer vision with rule-based logic and machine learning to reduce noise and highlight real situations. For example, systems that flag a weapon […]
Multi-modal AI for control rooms: use cases & architecture
1. Introduction to multimodal and AI works in a control room Multimodal data streams combine visual, audio, text, and numeric inputs to create a richer, more contextual view of events. In a modern CONTROL ROOM, operators often face multiple sources at once. Cameras, microphones, alarms, and sensor outputs all arrive in parallel. Multimodal AI systems […]
Temporal benchmark for reasoning over video streams
Overview of Temporal Navigation in Video Understanding Video understanding sits at the intersection of perception and context. It draws on computer vision and language to make sense of moving scenes. In dynamic contexts, systems must not only detect objects but also follow how those objects change and interact over time. Temporal navigation in this setting […]
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 […]
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 […]
