TECHNOLOGY

Real-time detection

Real-time video analytics

Real-time video analytics employs advanced artificial intelligence (AI) algorithms to analyze and interpret streaming video data immediately as it’s captured. Essential aspects include:

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Object Detection and Tracking: Algorithms like Mask R-CNN, YOLOv3, and YOLOR detect and track objects in real-time video data. These models can identify specific classes (e.g., vehicles, people, traffic lights) with high accuracy
Deep Learning: Leveraging neural networks, real-time video analytics learns patterns from data. Neural networks process interconnected layers of nodes enabling complex analysis.
Applications: Real-time video analytics finds applications in surveillance, security, and process automation. It monitors events, captures object attributes, and analyzes behavior

Real-time video analytics uses AI for immediate analysis of live video, employing advanced models for object detection and deep learning for pattern recognition, with applications in surveillance and security.

TECHNOLOGY

Real-time detection

Real-time video analytics

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TECHNOLOGY

Real-time detection

Real-time video analytics

Empower your online presence with avada hosting

reliable, efficient and secured– tailored to your needs !

Let’s Begin Resolving Your Challenges.

reliable, efficient and secured
– tailored to your needs !