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Visual Inspection For Defect Detection – Done Right With VisionAI
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Visual Inspection For Defect Detection – Done Right With VisionAI

By November 11, 2024November 27th, 2024No Comments

Table of Content:

Introduction
Poor inspection and defect detection – the quality culprits
Repairs and insurance – in the firing line due to poor-quality checks
What is VisionAI?
Leveraging value faster with VisionAI

Introduction

Consumers today have access to numerous options for any product they desire. They have high expectations from the products they do patronize. One of the key parameters of the product experience is product quality. This leads to a situation where businesses operating in industries like manufacturing have been forced to continuously up their game to ensure that they deliver products of the highest quality.

The consequences of not meeting customer expectations of quality are often severe, including customer churn and loss of brand value. Even beyond that, recalls and returns can be expensive too. This is why, the American Society for Quality (ASQ) estimates that quality-related costs can escalate to as much as 40% of total sales revenue for businesses, and on average it consumes 15 to 20% of the revenue in all cases.

Poor inspection and defect detection – the quality culprits

It’s incredibly rare for manufacturing processes to always perform at peak levels. Defects are inevitable, in the aggregate as well as in the case of specific units. One of the biggest problems that businesses face from a quality perspective is the failure to detect these defects before a product passes out of the production line and into the hands of customers. From issues in the actual product to errors or omissions in the supporting documentation and accessories, defects could (and do) easily slip by the eyes of manual inspectors. Defect detection is a very critical step in the overall quality cycle.

Despite years of strategic investments into standardizing and strengthening inspection procedures, manual-intense efforts lead to misses that can prove critical. A recent example that highlights the issue was the 2023 recall saga by Ford when the automaker recalled nearly 1.9 million Explorer SUVs to fix a faulty trim clip caused by improper assembly. The post-mortem revealed that this was missed in initial quality checks.

Repairs and insurance – in the firing line due to poor-quality checks

Let’s now look at product repairs, under warranties or while insured. These problems pop up after the sale is done. However, when customers bring in a vehicle for repair, especially while leveraging an insurance claim, visual inspection becomes a crucial, and sometimes, weak link in the chain. Signs of fraud or unauthorized tampering could be missed. Manual inspection and defect detection mechanisms can also overlook areas that need to be repaired. These could lead to situations where incomplete repairs are delivered, causing customer dissatisfaction. It could also cause financial loss.

Businesses need a way to bridge quality gaps and ensure that their products are fully inspected and verified for quality before being handed over to customers. One of the major innovations that promises great results is the use of VisionAI.

What is VisionAI?

In simple terms, VisionAI refers to the use of AI-powered computer vision systems to study, recognize, and understand visual patterns. It encompasses a large spectrum of activities ranging from simple pattern recognition in images to powerful textual and spatial understanding of items by analyzing scenarios, image scenes, video streams, etc. Powerful algorithms powering VisionAI tech get trained to recognize and classify granular patterns of defects or deviations in an item with a visual inspection.

Compared to manual inspection methods, VisionAI has several benefits. Let us explore the top 3 VisionAI benefits:

Accuracy and precision

Defects that the human eye may miss will be captured by computer vision. This is thanks to the power of cameras combined with AI capabilities that recognize shapeshifts, deviations from standard design specifications, or contours. This will be helpful in not just detecting faults but also in ensuring that scenarios like repairs and quality checks are carried out to perfection. Even microscopic cracks, bends or misalignments could be detected and rectified before handing the product to customers.

Faster defect detection

With computer vision, the detection of defects, deviations, etc. is usually done faster because of intelligent visual analysis. The ability of VisionAI to detect discrepancies is useful not just in physical product inspection but also for picking up errors in support manuals or documents. It provides a faster and more comprehensive quality inspection experience for businesses that helps them deliver better customer service at all times.

Autonomous operations

With VisionAI, inspection activities can run autonomously and continuously without the need for human intervention. In addition to reducing inspection time and improving quality check performance, automated operations help in improving efficiency and productivity. Furthermore, they can apply inspection workflows and procedures to every item thereby helping with standardizing quality checks. With an inherent standard for automated quality inspection, it becomes easier for businesses to provide consistent customer experience. For firms like automobile manufacturers, this provides a faster production cycle and service cycle to win customer loyalty.

Leveraging value faster with VisionAI

Realizing the true potential of VisionAI in transforming business processes in industries like manufacturing, Pratiti launched a key solution in its Digital Innovation Hub. Here several day-to-day usage scenarios of VisionAI like defect detection have been developed as custom solutions that manufacturers can readily adopt. This helps in faster value recognition, lower costs, and increased efficiency with a very minimal learning curve. Our experts have developed intelligence algorithms that enhance computer vision capabilities by leaps and bounds. Combined, these make Pratiti, one of the best VisionAI partners for businesses worldwide.

With higher detection accuracy, we guarantee better quality inspection workflows for businesses engaged in manufacturing or production operations on any scale. Get in touch with us to know more.

 

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Nitin
Nitin Tappe

After successful stint in a corporate role, Nitin is back to what he enjoys most – conceptualizing new software solutions to solve business problems. Nitin is a postgraduate from IIT, Mumbai, India and in his 24 years of career, has played key roles in building a desktop as well as enterprise solutions right from idealization to launch which are adopted by many Fortune 500 companies. As a Founder member of Pratiti Technologies, he is committed to applying his management learning as well as the passion for building new solutions to realize your innovation with certainty.

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