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Cloud video retail events recognition

RINF TECH and its partners are working together to develop a solution rooted in the latest Machine Learning and video analytics trends. The main purpose is to vastly decrease the amount of time necessary for codifying a video, while improving the overall accuracy of the process.

Our Solution

Vid.Supervisor is a machine-learning model that runs over a video to identify and tag behaviors.

For a visual map of reaching the end objective, we can take as example the next journey:

  1. System setup, user management, project definition
  2. Uploading videos into the System and defining codebook tags: actions/quantities/locations
  3. Streaming the videos for manual tagging
  4. Generating codebook excels
  5. System proposing values for tags
  6. User confirming/correcting tags
  7. Automated identification of patterns & behavior insight (human review is needed for 100% accuracy)

Key Features

Person Detection
People Recognition
Sewing Videos by: Person, Tag, Location etc.

0 K
Lines of code written
Hours of work
Team members
(1 Dev, 1 Designer, 1 PM)


AI and machine learning combined in an application can help you:

  • Supervise employee activity
  • Supervise processes and the quality of the services you provide
  • Improve your services
  • Detect what needs improvement
  • Identify your client’s needs
  • Helps you with better marketing strategies based on the tracked activity of your customers
  • Helps your employees by saving precious time and lets them focus on decision making services