• Defect Identification

     Quality control in manufacturing is quintessential and defect identification is important to decrease operational costs and wastage. 

    Manual identification is cumbersome and inaccurate and requires trained professionals for the task which can result in operational bottlenecks and impact market timelines.

    At Robro Systems, with our Kiara Vision Platform, we help industries perform 100% inspection and automate defect identification on production lines. These deliver reduced wastage, increased productivity and higher customer satisfaction levels.


Why Automate Defect Identification

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Reduce Product Recall

Defects can be minute and microscopic, which can impact the final quality of the products. If not identified and rectified, it can result in significant product recall, which negatively impacts brand reputation and may result in huge losses. 

An effective, scalable, and robust defect identification mechanism that can deliver objective decisions based on visual inspections at affordable costs is required.

Increase Product Efficiency

Deep learning technologies have developed rapidly and are widely being adopted by manufacturing companies for defect identification and to improve product quality. 


Visual inspection systems are based on sensors, imaging, and infrared technology and enable quicker inspection rates, significantly decrease inefficiencies, and deliver superior quality products.

Identification of Defects by Visions and Use Cases

High-resolution cameras take pictures of parts in motion on a production line. AI algorithms identify these defects in real time and take appropriate action

Pharmaceutical

Sort broken tablets, avoid empty blister packaging, ensure accurate counting in every pack, prevent label printing defects

Printing and Packaging

Detect missing information on the outer packaging, printing defect identification like incorrect colour, label, or print, improper or missing batch code

Textile

Line scan cameras are used to inspect sheets, webs, and cylindrical objects by capturing high-resolution fast-moving images; these can be useful for weaving defects and other textile inspections

Food and Beverage

Identify broken or missing pieces, improper packaging and sealing, label printing defects, inaccurate or missing barcode, mislabelled outer packaging

FMCG

Package seal inspection, date and lot code inspection, label quality inspection, barcode quality inspection, package seal and tamper-proof seal inspection

Metal and Automotive

Tire and wheel systems, power train systems, safety systems, electronic systems, small metal parts counting and inspection

Wood and Plastic

Cap defects sorting, matchstick inspections, hole choke identification, over-sized knots, codes and markings, gouges and gaps, chips, lamination issues, stains, tear-outs and rips, voids, surface patterns and colors, profile shapes and dimensions

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Benefits of Automated Defect Identification

Categorise Defects

Automatically sort products based on different defects, such as size, color, damage, and more





Identify Small Errors

Microscopic errors can easily escape human eyes; high-resolution cameras and computer vision ensures precise defect identification of the smallest errors with up to 99.99% accuracy

Data and Control

Automated detect identification systems use AI-enabled technology and advanced software to capture data and provide real-time information and analytics to make effective decisions to improve future production runs

Reduce Wastage

Early defect detection ensures timely rectification, which significantly reduces rework and waste improving profitability; material management can also improve and can result in saving huge amounts for manufacturers by reducing printing costs, such as misprints and formatting errors, reprinting, and ink

Increase Productivity

Early detect identification reduces the rework requirements and also ensures manufacturers don’t need to make expensive product recalls, which not only increase cost but also negatively impact brand reputation




Reduce Labour Costs

Manual inspection costs manufacturers almost 40% of the total costs; which can be significantly decreased with automated defect identification; companies can utilise their personnel in other business functions to increase sales and profitability thereby achieving higher ROI

Video-Based Case Study

Wooden sticks have replaced plastic sticks for teeth cleaning. Defects like missing holes, improper prints, cracks, and chip offs may occur during the manufacturing process. Manual inspection is inaccurate and slow and missed errors can result in rejections and losses. Robro Systems developed a vision system using line scan cameras and deep learning algorithms for automating the process, which is three times more reliable and five times quicker and delivers up to 99.5% accuracy ensuring each shipment is defect-free thereby enhancing customer satisfaction.

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Product Inspection with Automated Defect Identification

Manufacturing companies invest a lot of resources in new technology and processes that help create everything we see around us. The products that are manufactured are used in medical devices, aerospace, defense, food, pharma, textile and FMCG among several other industries. Ensuring product quality and inspection of each manufactured item is critical. Even today, several industries rely upon manual inspection to identify and eliminate defects in production lines. 


At Robro Systems, with Our Kiara Vision Platform, we help industries perform 100% inspection and automate defect identification on production lines. These deliver reduced wastage, increased productivity and higher customer satisfaction levels.

Enquire now!

Identify defects by Vision

High-resolution cameras take pictures of parts in motion on a production line. AI algorithms identify these defects in real time and take appropriate action

Tell us your application!

Automated Defect Identification can save you over 
₹ 10,00,000 every year! 

An estimated 23mn products were recalled in 2021. The cost of error is surmounting every day. Thanks to affordable inspection solutions these are avoidable. Vision Systems powered by our AI algorithms are trained to identify what is OK and what is Not-OK and take relevant action at high speeds while identifying the smallest of defects.

Categorize Defects

Automatically perform sorting based on types of defects identified by vision systems.

Identify small errors

Automated defect identification through vision can identify defects that evade the human eye!

Data & Control

Digitalized defect data and insights into production data inch your factory closed to Industry 4.0.

Reduce Wastage

When defects are identified early, re-work and wastage of products can be minimized.

Increase Productivity

Inspect at high speeds leading to efficient processing and increase in production rate.

Reduce Labor Costs

Move on from human errors  and attrisessions with AI assisted inspection to augment labor force.

Selected Case Study

For a wooden brush sticks manufacturer, automated defect identification helped reduce cost of labor, increase speed of inspection and helped our client's customer build tremendous faith in our client's ability to delivery quality product.

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