Xihelm is a London-based company that is developing automated handwork robotics for specific commercial cases in the industrial greenhouse industry. Its platform uses computer vision and machine vision and connects to robotics with the intention of optimizing crop yield and lowering labor costs. The product is being developed by software engineers and PhD researchers.
There are two main products from the company. The first is DeepRiskView, which conducts a visual risk analysis so that the robots can understand their surroundings. The second product is AssetView, which detects street visible assets on behalf of utilities. The company's product is a software that can automate handwork for robots so they can harvest crops in greenhouse. The software uses deep learning for deep object recognition, allowing for robots to function effectively to complete manual tasks in industries where there may be labor shortages, such as the agricultural industry. It is being tested at indoor tomato farms with the intention of expanding.
Xihelm was founded by James Kent.