Reducing processing load using transfer learning and learning models! A case of achieving automatic recipe suggestions.
The customer had the challenge of wanting to "implement image recognition technology that recognizes ingredients with a camera, and after correctly identifying the ingredients, propose recipes linked to the dishes."
In implementing the image recognition technology, it was necessary to accurately recognize the materials with the camera, and to reduce processing load, transfer learning and a learning model (mobilenet) were used to ensure it could also operate on small PCs like Raspberry Pi.
In recognizing work processes, the system was designed to recognize the work status at each stage with a camera, identify how far along the process is, and determine what the next step is, including follow-up to the next stage.
Additionally, there are examples of product control through gestures. For more details, please refer to the related links below.
[Case Overview (Partial)]
■ Client Industry: Electronics
■ Service Line: Technology / IoT
*For more details, please refer to the PDF materials or feel free to contact us.
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