In today's printing industry, customers have increasingly high requirements for product quality, and the traditional printing process has been difficult to meet the market demand for high-quality products; In order to maintain market competitiveness, the introduction of automated production and flexible transformation has become an important choice for enterprises.
Customer pain points
The customer is a cutting-edge printing company in Taiwan, China, focusing on providing high-quality custom printing solutions for a wide range of products. The customer faced serious challenges in the fan printing line, especially when it came to checking for printing fan defects. The production line relies on manual inspection of fan printing defects, which leads to inefficient quality control.
1 Inconsistent manual inspections: Existing inspection processes rely on manual inspections, making it difficult to detect minor deviations and vague defects. The manual detection efficiency is fixed and cannot be greatly improved, and in the repeated and mechanized inspection process of the assembly line, the workers are easy to get tired, resulting in the reduction of the detection efficiency. Unknown defects and human error are also difficult to control, and substandard products are occasionally missed, leading to customer complaints and negatively impacting brand reputation and production quality.
2 Defective and misaligned adhesives: Printed material on the fan occasionally fails to bond properly or is misaligned, resulting in defects.
solution
To overcome these challenges, the customer's fan printing line implemented the TM5-900 cobot to implement an AI visual inspection solution to automate the inspection process and improve the accuracy of defect detection.
The solution leverages a combination of cobots and semantic segmentation capabilities to ensure accurate identification of defects. A fan is placed on a conveyor belt and a sensor triggers the camera to capture images for AI-based analysis. A round light next to the fan ensures optimal lighting conditions, allowing the system to accurately detect defects such as adhesive failure or misalignment. Filtering mechanisms based on area and fractional thresholds minimize false positives and ensure accurate and reliable defect detection, reducing the probability of defective products reaching customers.
Advantages of the TM solution
Improve accuracy
Using TM Vision AI detection, the efficiency has been increased by 5 times, and the defective product interception rate is 100%. Ensure that all defective products are effectively identified.
Improve operational efficiency
Automating the inspection process results in a consistent cycle time of 0.5 seconds per fan, simplifying quality control and minimizing the need for manual labor.
Improve brand reputation
By reducing defects and maintaining high product quality, customers are able to increase customer satisfaction and protect brand reputation.
TM Robotics' AI visual inspection solution has brought significant improvements to the customer's fan printing line. Through this partnership, the printing company has successfully solved the challenges of quality control and set the benchmark for efficient and reliable inspection solutions in the printing industry.