Computer vision is revolutionizing the food industry in many ways.
Initially, it was primarily used in industrial processes for quality inspection and detecting foreign materials like glass, plastic, or metal in food. However, there is now a shift toward consumer applications, enhancing the cooking experience. Advanced AI-powered systems can recognize food, ingredients, and their cooking status, ultimately reshaping not only how food is prepared and packaged but also how it is consumed at home.
A sample of computer vision applications we developed for the food industry:
Intelligent Cooktop Monitoring
Bakery Production Line Inspection
Volumetric Analysis of Non-Rigid Food Materials
Food and Ingredient Recognition Algorithms
Blog posts
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How We Built Metrically Accurate 3D Annotations from a Single Camera
We show how markerless camera calibration can be approached in urban environments and beyond.
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A complete AI and 3D stereo vision pipeline running on a single embedded SoC to lay the foundation…
Multi-modal foundation models out of the lab: a reality check
In this post we discuss the applicability of multi-modal foundation models (VLM) to solve real…
Onsemi Hyperlux ID AF0130: Industrial iToF Depth Sensor Evaluation
Hands-on evaluation of the Onsemi Hyperlux ID AF0130 iToF sensor. Real-world testing reveals…
Beyond the Frame: What Are Event Cameras and Why Do They Matter?
A deep dive into event cameras: the hardware, software challenges, and real-world applications of…