About The Client
Established in the automotive industry for over a decade, this manufacturer has built a reputation as a trusted partner to leading vehicle workshops, providing high-quality garage equipment and exceptional service to premier OEMs across the country.
The Problem
The primary challenge was meeting customer satisfaction expectations as their clients faced extended wait times for vehicle inspections caused by slow traditional manual procedures.
Detection accuracy of anomalies was very low, approximately 40 to 45%, across all manually inspected vehicle components.
Additionally, the current inspection process lacked transparency regarding identified issues and job card estimates. Due to a fixed number of inspectors, they also faced inefficient resource allocation during low-volume periods.
The Approach
We addressed these challenges using Automated Vision Inspection (AVI) technology, integrating Generative AI, Vision AI, and high-resolution machine vision cameras in customized hardware scanning stations.
This system scans cars in seconds, identifies problems, assigns severity levels, and determines necessary repairs and maintenance to ensure optimal performance.
Services
- AI Vision
- Machine Vision
- Generative AI
- Autonomous Inspection
- Anomaly/Defect Identification
Technology
- Azure ML Workspace
- Deep Learning Models
- GPU VMs
- AKS
- ADF
- Image Noise Reduction
The Process
The process begins with capturing detailed images of vehicles, focusing on components such as tires, exteriors, and undercarriages.
These images are then fed into advanced multimodal deep-learning models for processing. Vision AI technology intelligently analyzes the images to identify defects in various automotive parts.
Once defects are identified, the technology recommends suitable remedial actions. A key aspect is its ability to assess areas beneath the car that are typically difficult for human inspectors to reach precisely.
This systematic approach enhances inspection efficiency and accuracy in evaluating vehicle conditions.
The Result
The adoption of Automated Vision Inspection (AVI) technology led to significant improvements in the inspection process. It enabled faster identification of defects and recommended effective remedial actions.
The technology’s meticulous assessment of areas beneath vehicles enhanced the accuracy of the process. This systematic approach contributed to better resource utilization and strengthened the client’s position in the automotive inspection industry.
The Outcomes
45 Minutes to 5 Minutes
Reduced inspection time from 45 minutes to 5 minutes, greatly improving efficiency and allowing the garage to serve 60% more vehicles.
100+ Defect Types Identified
Identified over 100 types of defects that were difficult for human inspectors to access, increasing the job card value by 30%.
50% Reduction
Inspection costs per vehicle decreased by 50%, leading to substantial cost savings while maintaining high-quality service standards.
