Why is Quality Control needed?
Whether companies are manufacturing cars, semiconductor chips, smartphones, or food and beverages, production quality and yield are two of the industry’s top performance metrics.Â
“Poor production quality control results in significant operational and financial costs in the form of reworked parts, scrap generated, reduced yield, increased work in process inventory, post-sale recalls, warranty claims, and repairs.â€
“In fact, the American Society for Quality estimates that for many organizations this cost of quality is as high as 15-20% of annual sales revenue, or billions of dollars annually for larger manufacturers.â€
How can manufacturers solve this problem? The answer is quite simple – Computer Vision.
Computer Vision is a miraculous technology that helps manufacturers perform production quality inspections in an accurate and cost-effective manner.
The problem with existing visual inspection approaches
Manufacturing processes typically include one or more steps where the product is visually inspected for defects. Typically, visual inspection is a highly manual process that can be time consuming and prone to errors.Â
However, traditional inspection has several drawbacks:Â
- Manual inspection is subject to operator perception and experience, which impacts consistency.
- Traditional inspection machinery needs to be programmed, is not flexible, and cannot adapt to product changes.
- It is sometimes, a hazardous process that can cause damage to the personnel involved.
The manufacturing industry is no stranger to innovation, from the days of mass production, to lean manufacturing, to six sigma and, more recently, to enterprise resource planning.Â
Artificial intelligence (AI) promises to bring even more innovation to the forefront. On paper, there are multiple benefits of using AI:
- Reduced cognitive load for operators
- Less defects
- No programming required and flexibility to adapt to product changes
- Detect hundreds of areas of interests on a product in seconds
Before COVID-19, many manufacturers were stuck in “pilot purgatory†when it came to their AI- and ML-based projects, as they were not seeing sufficient business value from their investments. However, new research from Google Cloud—which polled more than 1,000 senior manufacturing executives across seven countries—indicates that 76% have now turned to digital enablers such as data and analytics, cloud-based services, and AI. Here is a quick overview of the impact of COVID-19 on manufacturing
Unravelling computer vision applications: How does it work and what are its use cases?
The advent of the fourth industrial revolution or Industry 4.0 has made it loud and clear that all industries must go digital to stay relevant and profitable. Full automation is no longer a choice, it’s an imminent need.
Machine Vision provides image-based automatic inspection. It is a system that uses visual computing technology to mechanically “see†the activities that take place one by one along the production line.
The components of an automatic inspection system usually include lighting, a camera, a processor, software and other output devices. Machine vision outperforms human vision at the qualitative and quantitative measurement of a structured scene because of its speed, accuracy, and repeatability.
It can easily assess object details, which are too small to be perceived clearly by the naked eye and inspect them with greater reliability and lesser error. On a production line, machine vision systems can inspect hundreds or thousands of parts per minute reliably and repeatedly, far exceeding the inspection capabilities of humans.
Here are some of the irrevocable benefits of Quality Control:
- AccuracyÂ
Computer vision-based approaches ensure a higher grade of accuracy within the accepted tolerance in every manufacturing process. For example, it’s possible to improve the level of bacteria detection for medical equipment by 95% through CV.Â
- Repeatability
When it comes to repetitive work, CV-driven systems conduct monotonous tasks more effectively. Implementation of a fully automated system definitely speeds up the production time as the machine needs no time for thinking and, compared to an employee, its accuracy and repeatability is far greater.
- Reduced DowntimeÂ
An automated system is an effective tool to reduce quality control downtime. As the system is fully automated, it runs much faster, it is able to work 24/7 and it does not need any breaks for rest.
- Reduced Costs
An automatic machine vision system provides tangible economic benefits. Using such a system, manufacturing companies do not require working personnel to manually perform control of manufactured products, allowing them to concentrate on more important work.Â
Additionally, a CV-powered system does not make mistakes, which can appear during manual control. The cost of a small human mistake can sometimes be valued at millions if not billions of dollars and Machine Vision helps to avoid it.Â
Here are some industry use-cases, where Computer Vision has already revolutionized Quality Control:Â
- Automotive manufacturing: Paint shop surface inspection, body shop welding seam inspection, press shop inspection (scratch, dents, cracks, staining), and foundry engine block inspection (cracks, deformation, anomaly).
- Semiconductor manufacturing: Wafer level anomaly and defect localization, die crack inspection, pre-place inspection, SoC packaging inspection, and board assembly inspection.
- Electronics manufacturing: Defective or missing printed circuit board (PCB) components (screw, spring, foam, connector, shield, etc.), PCB soldering and gluing (insufficient solder, Icicle, shift, exceeding tin, etc.), and product surface check (glue spill, mesh deformation, scratches, bubbles, etc).
- General-purpose manufacturing: Packaging and label inspection, fabric inspection (mesh, tear, yarn), metal and plastic welding seam inspection, and surface inspection.
Long story, short:
Computer vision is a powerful technology that can help manufacturers improve their production Quality Control processes. Manufacturers across the globe are harnessing the power of CV to improve production, increase uptime and reduce expenses.
Get in touch with us to see how Computer Vision methods can scale your manufacturing business.Â
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