NSYS Diagnostics now detects lens and photo matrix defects automatically with advanced AI algorithms. This tool is essential for used device businesses, ensuring thorough and high-quality camera diagnostics.
How the Feature Will Benefit Your Business
The solution automates camera defect detection, which benefits the workflow in several ways:
- Elimination of Human Errors. AI algorithms consistently and objectively evaluate cameras, ensuring improved quality assessment.
- RMA Rates Reduction. Accurate testing results ensure you won't accidentally sell a device with a broken camera, which enhances customer satisfaction and strengthens your reputation.
- Phone Value Maximization. As you are 100% sure of the camera quality, you don’t have to include unexpected repair costs in the price.
What Defects Does NSYS Diagnostics Detect?
Phone cameras can suffer from various defects that reduce device value. Using NSYS Diagnostics, you can identify the following defects:
- Hardware Damage. Physical damage may lead to scratches, cracks, or contamination in the camera module.
- Color Distortion. Excessive light exposure may disrupt the sensor, causing improper white balance.
- Broken Pixels on Camera’s Image Sensor. The image sensor may contain dead, stuck, or hot pixels, resulting in poor-quality images.
Detecting these defects is crucial, as overlooking them can lead to costly repairs.
Why Cannot These Defects Be Detected Manually?
During manual inspection, various interferences can lead to inaccurate evaluations.
For example, when testing in-store during trade-in, workers may be rushed, affected by poor lighting, or distracted by shadows from other people. Additionally, testing conditions may change over time. These aspects lead to inconsistent results and human errors.
Workers also face challenges when testing large volumes of devices in warehouses. Due to repetitive tasks, they lose focus and make mistakes, missing the defective smartphones.
NSYS Diagnostics takes functional testing to a new level. Try it to enhance quality and reduce expenses.
