Computer vision is already being used to bring analytics to retailers, identify early signs of Alzheimer's, and even to identify weapons, but ImpactVision is leveraging the power of machine learning to automatically assess the quality of food in factories and warehouses. Based in San Francisco, the startup has already garnered $1.6 million in funding and recently received another $1.3 million. This new round of funding would be used to “accelerate product development” and grow other sectors of the company.
Ultimately, the technology developed by ImpactVision aims to cut food waste globally by utilizing the technological landscape. In addition to machine learning, the technology driving ImpactVision also utilizes spectroscopy. This process allows the AI to better assess the quality of the food beyond just a surface level view.