Almost half of all fruit and vegetables produced are wasted; that’s the equivalent of 7 million apples and 2 million bags of potatoes every single second. Food supply chains are mechanised, but not information-enabled. ImpactVision was founded with an awareness of the stark challenges facing the global food system today —food waste, food fraud, inefficiency— and the knowledge of advancements in technology that could make an impact.
Using hyperspectral imaging and machine learning, ImpactVision helps food companies learn about the quality of their food products such as freshness of fish, dry matter of avocados or presence of foreign objects non-invasively and in real-time. This in turns leads to more effective decision-making that increases efficiency while reducing waste.
Our goal is to build ImpactVision into a global reference for quality in food supply chains, with the largest spectral database that translates hyperspectral images into insights on food quality. We are focused on developing hardware-agnostic software, which will allow us to integrate with any hyperspectral camera, including a smartphone sensor, and be deployed at scale.