Hardware and IoT|Live

PanelVision

Automated visual quality inspection system for LG appliance control panels using computer vision to detect manufacturing defects by comparing production units against a reference template in real-time.

Overview

Camera-based visual inspection system for LG panels. SIFT and ORB feature detection for keypoint matching, homography-based alignment, SSIM differencing to quantify structural differences. Zero training data needed.

Specs

CameraBasler ace 2 industrial GigE camera (5MP)

ComputeNVIDIA Jetson Xavier NX edge GPU

MethodSIFT/ORB keypoints + SSIM differencing

InnovationZero training data needed — template-comparison approach

Features

Basler ace 2 industrial GigE camera with C-mount lens
Diffused LED ring light and backlight panel for uniform illumination
NVIDIA Jetson Xavier NX for on-site GPU inference with sub-second latency
Laser-based photoelectric trigger sensors synced to conveyor PLC
Pneumatic reject diverter actuator for flagged units

Tech Stack

PythonOpenCVNumPyscikit-imageSIFTORBSSIMEdge Computing

Interested in PanelVision?

Let's discuss how this can work for you.

Get in Touch