Task
Teach a reverse vending machine to reliably identify what a person returns: a bottle, a can or other packaging — and reject foreign objects.
Recognition had to work inside the machine, quickly and without a constant connection to a server.
Reverse vending machine manufacturer
Reverse vending machines with computer vision
The client is a reverse vending machine manufacturer.
Computer visionEmbedded systemsEdge inference
Hardware and software system identifies the type of returned packaging.
Client
Reverse vending machine manufacturer
Industry
Ecology, recycling
Areas
Computer vision, embedded systems
ESTESIS role
System development
From task to result
Client
A reverse vending machine manufacturer. Name under NDA.
What we did and how
We developed a hardware and software recognition system for reverse vending machines.
- 01Choice of camera and lighting inside the machine's intake chamber
- 02Packaging type recognition models
- 03Rejecting foreign objects
- 04Running on the machine's built-in computer
Result
The machine itself identifies the type of returned packaging, and the manufacturer gets a ready-made recognition module for its line of devices.
Stack and competencies
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