Applications
RKE’s automated vision inspection systems offer trusted, turnkey solutions that deliver comprehensive inspection services across multiple industries. These systems are particularly effective in the automotive, mobile phone, and electronic component sectors. Utilising deep learning algorithms, our systems automatically detect surface defects, dimensional inaccuracies, and other quality issues with high precision. They handle a range of critical inspection tasks, including defect detection, tolerance inspection, and component measurement, ensuring high-quality standards and operational efficiency.
Traditionally, inspecting the appearance and quality of fasteners involved manual visual inspection or the use of tools like callipers. This method is slow and not exceptionally accurate. It also relies a lot on the worker’s judgment and focus. These limitations often lead to misjudgments and missed defects, which are usually inadequate for modern production requirements.
Many companies in the electronics manufacturing industry widely use our optical inspection machines in their assembly and quality control processes. The design removes production defects and checks PCB assembly accuracy. It also improves supply chain traceability.
This system excels particularly in inspecting solder quality on circuit boards, verifying component placement, and ensuring print quality. By integrating image recognition technology with high-speed automation, our systems provide high precision and efficiency in inspecting electronic components.
As mobile phone components become increasingly sophisticated, the demand for high-quality standards and large-scale production has risen. Traditional inspection methods, which rely on manual processes, are no longer sufficient to meet these modern demands. Using vision inspection machines is now essential for ensuring high-quality and efficient production of mobile phone parts.
Automotive manufacturing demands precision, as even the most minor defect can have dire consequences. Safety is a critical concern, and ensuring the quality of every component is a daunting task for manufacturers. Checking thousands of parts by hand is neither practical nor cost-effective. This has led to the use of machine vision technology in the automotive industry.
As industrial demand increases, industries are increasingly utilising rubber products in high-precision applications. Rubber seals and rubber buttons are essential in many industries. However, making sure these parts are of good quality can be challenging.
Traditional inspection methods often use manual checks. These methods struggle to meet demands because rubber materials are flexible and dark. This makes it difficult to detect defects such as cracks, contamination, and material inconsistencies.
Engineers have created a new visual inspection system. System designers create components for energy systems, such as battery casings, electrode sheets, and motor assemblies.
This system uses AI image analysis and high-resolution industrial cameras. It can accurately detect surface scratches, size changes, colour issues, and material problems in real-time. Achieving a detection accuracy of ±0.01 mm, this visual inspection system ensures rigorous quality assurance in clean energy manufacturing processes.