At Imona Technologies, we have had the pleasure of working with a diverse set of clients, including Koçtaş, Koton, and several large-scale factories. With Koçtaş, we developed a computer vision system that enables them to better manage their inventory and track stock levels. Our system uses object detection models like YOLO and segmentation models like MaskRCNN to accurately detect and track products on store shelves. We have also worked with Koton to develop a computer vision system that uses pose estimation models like OpenPose to detect and track customer behavior in their stores. This system helps Koton to optimize store layouts, product placement, and even detect fraudulent activities.

For our large-scale factory clients, we have worked on a range of projects, including employee safety systems that use computer vision technology to detect potential hazards and alert workers in real-time. We have also developed quality control systems that utilize molecular depth estimation models like MiDaSv3 to detect defects in manufactured products and ensure that they meet the highest quality standards.

At Imona Technologies, we are committed to helping our clients harness the power of computer vision technology to improve their operations, enhance their products, and drive growth. We pride ourselves on delivering customized solutions that meet the unique needs of each client, and we are always looking for new and innovative ways to help businesses achieve their goals.