object detection

OBJECT DETECTION SYSTEM USING ARTIFICIAL INTELLIGENCE

 

The software can analyze live or recorded broadcasts in real-time to identify images of objects, thanks to artificial intelligence trained with preloaded images.

The AI is trained with a large and varied database of images, both of objects and non-objects, to avoid false detections.

This solution has great potential in monitoring and regulating content on television channels, live streaming platforms, and other public environments.

 

Features

  1. Live Monitoring: The tool continuously monitors broadcasts, capturing frames and analyzing visual content without affecting transmission quality.
  2. Detailed Reports: After detection, the software generates detailed reports with timestamps and a description of the content. This is useful for television channel operators who may need to justify content-related decisions.
  3. Detection History: The system stores a history of all explicit content detections for future analysis and to generate statistics on the frequency of such content.
  4. Notifications and Alerts: When a previously registered object is detected, the software issues a real-time alert to administrators or content control personnel. Alerts can be visual, auditory, or sent via email.
  5. Intuitive User Interface: An interface that allows users to easily upload training images, configure model parameters, and visualize detection results.
  6. Scalability: The ability to process multiple television channels simultaneously and adapt to new objects and scenarios.

Characteristics

  • 100% Web-based configuration.
  • Identification of appearance with date/time, program, signal, and clip duration.
  • Applicable to both digital and analog TV.
  • Available match percentage information.
  • Allows real-time recognition as well as scanning of recorded archives.
  • Generation of custom reports for detections in various formats: JSON, XML, HTML, PDF, XLS, and CSV.
  • Webhook for sending detections
  • You can upload clips using Web Upload, Windows shared folder, or bulk uploads via REST API.
  • No need to decode the saved file for archive searches, allowing for surprisingly fast backward searches.

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