Meshek{76}

meshek{76}; is engaged in the development of a platform for machine-learning based on computer vision. The core technology stems from the ideological principles of open source and collaborative development, through which we develop a range of comprehensive solutions for the automation of production processes in agriculture, the food industry and traditional industries. The company markets flaw-detection and quality control solutions for production lines around the world. Using real-time image analysis algorithm and through continuous optimization, our robots are able to identify and perform any vision based task. ENSOR ARRAY AND DEPTH CAMERAS: The system includes a set of cameras, laser scanners and sensors that regularly scan the growing beds. The cameras and sensors provide real-time 3D modeling for data analysis and decision making by the control center. Using a unique image analysis algorithm developed in the company's laboratories, the system is able to locate the mushroom, identify its exact size and color, detect defects and perform a quantitative count - all according to the preset growing protocol. CONTROL CENTER: The control center is the core of the system. The system receives processes and analyzes data from various sensors and manipulators. By using dedicated algorithms, the system makes real-time decisions about how and when tasks are performed. DATABASE: The database collects all the information that comes from the system, and through deep learning, analyzes and draws conclusions. Over time, the system will become more productive with each robot as an individual and as well on the level of the entire farm. USER INTERFACE: With the help of the accumulated data, the system is able to fully monitor the environment and progress of the growth cycle in real time. A dedicated application and website will update the grower regularly by reports and alerts about the growth process. All the grower has to do is choose the growth protocol and the system will perform the entire process autonomously. HIGH TRACKS: The high tracks system is used for moving the robotic arms between the growing beds. The upper rail approach is a significant innovation that eliminates the need for human passageways and accordingly increases the size of the growth beds. ROBOTIC ARM AND GRIP: The robot is equipped with designated arms with 6DoF (degrees of freedom) that are capable of performing specific tasks during the growth cycle. Each arm has a tool stack, with a variety of grips for the various tasks. The robot independently selects the required grip, sends the arm to the cartridge, makes the switch and continues to operate the needed grip for the task.