CASE STUDY : *project [ ReCOG ] *by Ginga DevOps
BRIEF : an intelligent visual recognition layer
DATE : 2025 - new
CLIENT : POC targeted at brand experience (Agency), sports, events; GigBox integration [ link ]
*project
[ ReCOG ]
*project [ ReCOG ] is an intelligent visual recognition layer designed to enhance digital experiences through real-time image and video analysis. Built on Microsoft Azure’s AI Vision stack, *project [ ReCOG ] integrates seamlessly with platforms like GigBox to enable advanced capabilities such as face detection, scene classification, object tracking, and content moderation. Whether verifying ticket authenticity, analysing crowd density, or extracting text from promotional materials, *project [ ReCOG ] provides a scalable, compliant, and highly customisable framework for deploying visual intelligence across events, AR environments, and user-generated content. With support for custom models and edge deployment, *project [ ReCOG ] brings context-aware, AI-driven insight to the forefront of interactive media and live experiences.
*project [ ReCOG ]
Features / Azure AI Vision
✅ Object & Scene Detection
✅ Face Detection & Analysis
✅ Face Recognition - (with Face API)
✅ OCR (Text in Images) - Strong OCR including handwritten text
✅ Custom Image Models - Via Custom Vision
✅ Video Analysis - Through Video Indexer
✅ Celebrity & Landmark Recognition
✅ Content Moderation - Moderate through Azure Content Moderator
Concerts & Festivals
Engage your audience at a Concert or Event…
Client
Name here
Year
01/01/000
At the Game
Engage your audience at the Game.
Client
Name here
Year
01/01/000
Wish you were Here!
brand experiences
Client
Name here
Year
01/01/000
Corporate Events
corporate events
Client
Name here
Year
01/01/000
