In the assembly process of smartphones, due to the variety of auxiliary materials and their different sizes, the high precision requirements of the mounting process are met. The "FR5215 hanging SCARA+AVS vision system " from Zowell has solved the problem of automated flexible auxiliary material mounting on the production line. Its repeatability positioning accuracy reaches ±0.01mm and its maximum load is 5KG .
Recently, Zowell has successfully introduced aerial photography technology into such systems, effectively improving efficiency while ensuring accuracy.
Project Overview
The automated mounting production platform consists of a highly efficient, precise, flexible, and automatic feeding mechanism (clay feeder + shielded material tray machine), an automatic mounting multi-station platform (robotic arm + multiple vision systems), and a material unloading conveyor plate.
The entire material handling process of the project is divided into five steps:
1. Material Retrieval: The robotic arm picks up the modeling clay from the feeder and then moves to the material tray machine for stacking, photographing, and material retrieval;
2. Correction: The robotic arm moves above the inverted camera to take aerial photos;
3. Applying the material: Attach the modeling clay to the PCB board;
4. Inspection: Use an upper camera to reposition the clay feeding status;
5. Cover with the shielding cover.
The robotic arm uses the Zowell AR6520 SCARA robot, with a load capacity of 2-3 kg and a working radius of 450 mm ; the gripper has 6 suction nozzles for easy expansion; in the final application of this process, the repeatability of the feeding position after correction reaches ± 0.05 mm .
About aerial photography
In the above project, the Zowell AVS vision positioning system was adopted, which incorporates flying camera technology. Unlike fixed-position shooting, when the workpiece being grasped passes over the camera, it is no longer necessary to stop to take pictures. Instead, the camera is taken directly while the robot is moving, and its instantaneous position and posture information is fed back. Secondary correction and deviation processing is performed for any possible workpiece deviation.
△ Flying camera
△ Fixed shot
How to take photos while flying?
" When the robot moves to the designated photo-taking area, its internal algorithm uses high-speed I/O signals to trigger the camera, enabling dynamic and uninterrupted photo capture, while simultaneously locking the actual photo-taking position at high speed. By combining the position data transmitted back from the camera with the robot's high-speed locked position, position correction can be achieved. "
Technical points
Q: How to trigger a photo at the appropriate location when there are no external sensors?
A. It leverages the technological advantages of ZWX's integrated drive and control system to perceive the photography area through real-time location.
Q: How to detect multiple workpieces that pass through the field of view in sequence during continuous trajectory motion?
A. By simply teaching different camera points for different workpiece locations and setting visual templates for each camera point, adjusting template parameters such as exposure, and finally transmitting all visual data back to the robot at once, the complexity of receiving data is reduced. This maximizes the advantages of Zowell's camera solution.
Q: The above introduction is based on Zowell Robotics' self-developed AVS vision control system. Can the flying photography function also be completed if a third-party vision system is used?
A. As long as the visual system meets certain frame rate requirements and supports I/O triggering, it is acceptable.
Vision empowers robots with the ability to " see . " New vision technologies such as aerial photography benefit from Zowell's continuous iterative optimization of vision system algorithms, enabling a close integration of visual perception, control theory, and visual processing to achieve more precise control or various real-time operations for robots.
In the future, Zowell will continue to be guided by the needs of intelligent manufacturing, focusing on the research and development of robot vision solutions to help promote the transformation and upgrading of the manufacturing industry.
