VisioYao mimics the work of an operator comparing the content of an order to understand if it is fully and correctly picked, using pictures of totes taken at different times during a picking process.
It does so by using computer vision and deep learning techniques to make an initial abstraction of the information, and by adding, on top of this, a semantic layer, which is readable, controllable, and modifiable by the user. VisioYao, downstream of the processing, provides readable information on the performed comparison, accompanied by information capable of clarifying the nature of any anomalies found.
Usage of Standards for data interoperability:
REST APIs Standards
JSON Web Token (JWT) open standard (RFC 7519)
ONNX: Open standard for machine learning interoperability