Solar power is an attractive alternative source of electricity. Multicrystalline solar cells
dominate the market share owing to their lower manufacturing costs. The surface quality of a …

This paper presents an automated visual inspection scheme for multicrystalline solar wafers
using the mean-shift technique. The surface quality of a solar wafer critically determines the …

This paper presents a method of automatic defect inspection for the photovoltaic industry,
with a special focus on multicrystalline solar wafers. It presents a machine vision-based …

Solar cells that convert sunlight into electrical energy are the main component of a solar
power system. Quality inspection of solar cells ensures high energy conversion efficiency of …

Photoluminescence (PL) images of polycrystalline solar cells is proposed. Micro-cracks in
PL images are difficult distinguish as they're easily confused with noises that are present …

This paper presents a wavelet characteristic based approach for the automated visual
inspection of ripple defects in the surface barrier layer (SBL) chips of ceramic capacitors …

Automatic crack defect detection for multicrystalline solar cells is a challenging task, owing to
inhomogeneously textured background, disturbance of crystal grains pseudo defects, and …

This paper presents a strategy for detecting micro-crack in the multicrystalline solar cells.
This detection goal is very challenging because micro-crack defects occur inside the cell …

The Problem of Photovoltaic (PV) defects detection and classification has been well studied.
Several techniques exist in identifying the defects and localizing them in PV panels that use …

This paper proposes a machine vision scheme for detecting micro-crack defects in solar
wafer manufacturing. The surface of a polycrystalline silicon wafer shows heterogeneous …