Artificial Intelligence-Based Smart Quality Inspection for Manufacturing
Indexed incrossrefdoaj
Abstract
In today’s era, monitoring the health of the manufacturing environment has become essential in order to prevent unforeseen repairs, shutdowns, and to be able to detect defective products that could incur big losses. Data-driven techniques and advancements in sensor technology with Internet of the Things (IoT) have made real-time tracking of systems a reality. The health of a product can also be continuously assessed throughout the manufacturing lifecycle by using Quality Control (QC) measures. Quality inspection is one of the critical processes in which the product is evaluated and deemed acceptable or rejected. The visual inspection or final inspection process involves a human operator sensorily examining the…
Citation impact
188
total citations
- FWCI
- 35.92
- Percentile
- 100%
- References
- 53
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Visual inspection
- Process (computing)
- Quality (philosophy)
- Convolutional neural network
- Computer science
- Automated optical inspection
- Product (mathematics)
- Artificial intelligence
UN Sustainable Development Goals
- Industry, innovation and infrastructure
No related works found for this paper.