Video Analytics & Logistics Industry

Video Analytics & Logistics Industry

Vehant’a OKEAN platform is a comprehensive solution for logistics & delivery analytics. This AI-based video analytics platform can help detect and alert about various SoP compliances for riders including but not limited to check-in and check-out monitoring, process optimization, face mask detection, etc. Using Computer Vision, object detection and classification, this platform can analyze live video feeds from camera and provide advantages in various areas starting with real-time detection.

Our video analytics platform uses the data generated across multiple cameras and locations and provides users with visuals through dashboards for analysis. The incidents that can be detected using our incident detection system include person collapse, intrusion, fire detection, smoke detection, abandoned object on premise, etc. Our video analytics platform for logistics can identify the range of event in a video and the machine learning techniques establish objectives for incident detection. The platform has a state-of-the-art incident detection capability with video understanding for effective analysis of video events.  

Our platform is also easily compatible with mobile phone systems driven by Android and Apple iOS.

Proposed Use Cases - Video Analytics & Logistics Industry

  • Face-Mask Detection
  • Contact-less Attendance Monitoring
  • Rider identification and enrollment process 
  • Video/Image-based transaction recording
  • Dress codes/Uniform Monitoring
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Vehant’s AI-powered Video Analytics platform ‘Okean’ provides Enterprise Analytics Suite and APIs. It leverages CPU, GPU, AI Accelerators, and Software technologies to offer incident detection, alert generation, data visualization, all in a simple, intuitive, and unified user interface. At the core, it uses advanced techniques in Computer Vision, Object detection and classification, for analyzing live video feeds/images from the camera to detect incidents. The business intelligence (Data presentation and visualization) layer helps provide actionable insights for users which can help reflect on understanding important incidents, people behavior, incidents patterns, etc.

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