The e-commerce giant Amazon, you want to stop relying on barcodes to identify your products. To achieve this, he has developed a model of artificial intelligence which uses a camera that performs this action.
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The barcodes play a fundamental role in Amazon’s shipping processes, so to stop depending on them they want to give way to the automation.
The system that the company has created is known as multimodal identification (MMID). The first thing they did was take pictures of products as they slid down the conveyor belt, for the AI model to then identify the dimensions, visual features, text, and weight of the packaging.
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As mentioned in the Hypertext medium, the depth and photographic cameras allow a kind of fingerprint of each product to be created. After, “Researchers translated the data from each image into vectors and built a machine learning model to extract it and associate it with the product to be compared.”
The The algorithm’s match rate, when used for the first time, remained between 75% and 80%. Then, after training the model, the MMID achieved 99% accuracy. Furthermore, this system was designed to be non-intrusive and can detect errors early.
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Currently, company engineers want to integrate it into robotic arms so that, in the future, the presence of the human being is not required. In this way, Amazon will leave behind the manual identification of articles.
Source: Elcomercio
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