The electric vehicle (EV) Dashboard EOL inspection system is designed to inspect EV dashboards clusters. This system assesses the operational functionality of the EV dashboard by employing cameras for visual inspection. The system adheres to the Unified Diagnostic Services (UDS) and Controller Area Network (CAN) protocol and comprises two stations capable of both parallel and individual inspections. It examines all User interface screens, including the Home screen, Brightness adjustment screen, GPS screen, Setting screen, and more. This system can identify defects such as dark spot, white Spot, pixel damage, and any malfunctions in the display using customized RGB display testing. 

The inspection process of each Device Under Test takes approximately 180 seconds. Additionally, the system allows for the inspection of custom screens and records the sequence of operations. All captured images are stored in a designated space, along with a report in MS Excel format.

Benefits

• Multiple setups can be configured for different models of the dashboard.
• A single person can do the inspection
• Less power consumption for electric components
• Automatic report generation and database logging
• Authentication control to access all inspection batch reports
• Automatic Barcode scanner and Label generator

Features

• The system can operate in parallel and sequence.
• Authentication feature for different level users
• Configurable Image Processing functions
• Provision to edit values of defect parameters
• Report generation in different formats (Excel, PDF) with SPC reports and Bar charts
• Images will be stored with respect to part for future reference.
• Easy update and configuration for multiple dashboard versions.

Types of defects identified  :

• White spot
• Dark spot
• Pixel defects
• Screen malfunction
• UI validation
• Functionality check

Conclusion :

         The EV Dashboard EOL inspection system employs cameras for thorough defect detection, adheres to the UDS/CAN protocol, and is versatile for inspecting various screens, including custom ones. It quickly identifies issues like dark spot, White spot, pixel defects and malfunctions in under 180 seconds, while also recording operations and storing images and reports in Excel format, enhancing quality control for Dashboard EOLs.