Demographic Analytics

Business Use case

Understand customer satisfaction as they shop at the stores including their age,and
gender. This will enable customers to A/B test products, and floor plans,identify and serve
VIP customers, and create demographic responsive displays.

Client

Computer Vision giant in the Bay Area.

Deployed in production at over 100+ locations in the US, and EU. Customersinclude retail
shops, malls, fashion brands, and 2 of the top 10 biggest retailcompanies in the world.

Use cases solves

1. Age Detection: Bin customers in age groups of < 20, 20 ½ 30, 30 ½ 50, 50 ½ 65,65+.
2. Gender Detection: Determine male or female.
3. Emotion Recognition: Classify people: Happy, Sad, Anger, Surprise, Fear,Neutral.
4. Face Detection: Detect faces and count.e. Face Alignment: Align faces detected at anangle.

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Technologies Used

TensorRT, CUDA-X, PyTorch, Python, C/ C++, Kafka, Django, Flask.

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