July 25, 2023
Improve automotive inspection accuracy and cut down assembly inspection time with LandingLens
Efficiency and accuracy are crucial factors in the automotive manufacturing industry, and this globally renowned automotive company (manufacturer) stands at the forefront of the sector delivering unrivaled quality and innovation, recognizing the need for automation in their manual inspection of their vehicle doors. To address this challenge, they sought the expertise of FPT, a global IT consulting and service provider, and a LandingAI Platinum Partner. FPT and LandingAI collaborated to implement a game-changing computer vision solution that improved accuracy from 50% to 99.7% and cut down their automotive inspection time from 3 minutes to 3 seconds.
Explore how LandingLens, the cloud-based computer vision platform from LandingAI, can optimize your manufacturing process, saving you time and money.
Challenges with Manual Automotive Inspections
The manufacturer was facing a few challenges with inspecting screws inside vehicle doors. Screws could potentially be installed in the wrong position, cross-threaded, or missing altogether. Additionally, these screws were installed inside the vehicle door, so operators viewed X-ray scans of each door.
Despite human inspectors dedicating up to 3 minutes per door inspection, manual inspections only yielded 50% to 60% accuracy. They recognized the need for a more efficient and reliable solution.
The LandingLens Solution
FPT, in collaboration with LandingAI, implemented a cutting-edge computer vision solution to the production line. By utilizing the LandingLens platform, FPT uploaded X-ray images of both correctly and incorrectly installed screws. The team then labeled the X-ray automotive images, distinguishing them as either “Good” or “Not Good” using a Classification Project in LandingLens. The computer vision model was trained on this labeled dataset, fine-tuned as necessary, and finally deployed.
Remarkable Outcomes
The implementation of LandingLens delivered exceptional outcomes for the manufacturer. The system now provides operators with a clear “OK” or “NG” (“Not Good”) output, achieving an impressive accuracy rate of 99.7% within a rapid inspection time of 2-3 seconds per door.
By automating the automotive assembly inspection process, they significantly reduced the number of escaped defective door parts. This proactive approach eliminated the need for costly quarantine measures and reactive reinspection, resulting in annual savings exceeding $200,000. Moreover, the LandingLens solution effectively mitigated door recalls and potential safety risks, preserving the reputation of the manufacturer’s brand.
Inspectors Now Clearly See if the Door Passes (OK) or Fails (NG for “Not Good”) Inspection
FPT and LandingAI: A Winning Combination
The manufacturer’s decision to partner with FPT and LandingAI was motivated by their dedication to understanding and fulfilling their specific requirements. The collaborative nature of FPT and LandingAI, coupled with their ability to incorporate feedback from the manufacturer, played a crucial role in the success of the project.
The ongoing support and exceptional service provided by FPT and LandingAI set them apart as trusted partners. The manufacturer expresses their intention to continue working with FPT and LandingAI for future computer vision inspection projects and use cases.
Fast Deployment, High Accuracy, and Future Expansion
One of the standout advantages of the LandingLens solution was its swift deployment, requiring just one month for implementation. This quick turnaround allowed the manufacturer to witness immediate benefits and optimize their operational efficiency.
With a significant improvement in automotive assembly inspection accuracy of 99.7% and substantial cost savings achieved, the manufacturer plans to roll out the LandingLens solution across North American facilities. This expansion demonstrates the manufacturer’s confidence in the capabilities of LandingAI’s computer vision platform.
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