September 2, 2020


Surface quality is a crucial factor for products, especially when it is related to products from electronic, automobiles , FMCG and telecom sectors. A single scratch or dent can hurt the saleability of the product, resulting in the loss of profits and cost in rework and remarketing

Grading and inspection of finished products is extremely crucial for the operation of a manufacturing company.

The traditional methodology of inspection

Traditionally inspection was carried out manually – with hands and naked eyes to check the finished products. Manual inspection implements the sampling method, i.e., a sample of finished products were inspected for their defect detection and quality. Manual inspections are mostly carried out in three stages:

  • Pre-production
  • In-Line
  • Final

Manual inspection is a slow process and creates possibilities for introducing errors and subjectivity. Errors in the manual inspection are basically of two types:

  • Missing a present defect: This leads to a loss in quality
  • Incorrectly identifying a defect: Results in unnecessary product cost and wastage.
Enter "Automation"

The emergence of Automated visual inspection has resolved quite a few issues faced during the manual inspection. Robots conduct automated Visual inspections with unique capabilities. Capabilities such as computer vision, imaging, near-infrared technology, and other imaging techniques, have gained rapid importance in non-intrusive grading and inspection systems over the past few years. Robots are known to function in a pre-defined manner and deliver effective results. Since recent times Robotics has being considered mostly for inspection roles. Robots have some apparent advantages over manual inspection:

  • Robots have sole responsibility; therefore, they are focused on their work.
  • They work 24/7 without breaks, without getting tired.
  • Provide high levels of accuracy and unbiased reports.

A major advantage a robot delivers over manual inspection is, a robot can inspect the complete batch of produced goods, instead of checking samples.

Of course, one needs to ‘train’ a robot with specific criteria before it is deployed. The application driving the robot then takes over, with real-time tracking through machine vision cameras and recordings. Additionally, with the advancement in technologies such as Machine learning and Artificial Intelligence, it has become possible to create smart systems that can do quality checks up to the smallest of details.

Is Automated Inspection useful?

Automated inspection is not prone to subjectivity or exhaustion. A machine might need repairs and maintenance, due to which they might be ‘offline’ for a few hours. But the value an Automated Visual Inspection system can deliver outshines the downtime. And well designed systems do not need large downtime windows.

Also, Automated systems act on issues in real-time, thereby providing real-time information for informed decision making. An Automated system offers the following advantages:

  • Consistency: There is never a ‘drop’ in productivity, nor is there ever an overlook. The system will keep on functioning on the given criteria.
  • Accuracy: A machine can pick up a defect immediately as per the criteria defined. The default condition is the ‘defect’ has to be defined properly in the system, and it will identify the defect accurately. Of course, a self-learning system like DEEPSIGHT®, can go beyond the given criteria and tabulate a new type of defect.
  • Speed: Systems can keep running for numerous hours; therefore the output of inspection is faster and more efficient
  • Digitization: The data generated from the inspection systems can be ported and processed immediately—allowing fine-tuning of production machines and quality improvement at almost run time.
  • Seeing the unseen: Even a practiced eye can miss out a minute scratch almost invisible to the naked eye. With the Computer vision and imaging technology, even the nearly invisible scratches can be detected.

All the above factors point towards a single point à ‘Business Success.’ Automated Inspection systems are incredibly crucial in the manufacturing industry, forward, and reverse logistics sector.

Automated Visual Inspection being the need, may gain even more traction, as that can reduce the risk of manufacturing errors, as well as the time and cost to implement a new solution. For many companies, labor costs can be minimized through the acquisition of advanced automated inspection facilities. And with the help of such equipment, they can likewise reduce the number of manufacturing materials being wasted, further cutting down a company’s overall manufacturing costs.

A System for Surface Defect Detection

Grrifyn Robotech, an -organization, based in Pune, India, is a specialist in developing Automated Visual Inspection systems. They have developed ‘OPTIVITY®’ an advanced system leveraging cutting-edge technologies of image processing and machine learning algorithms for glass, plastic and other transparent systems. Focused on the engineering and manufacturing sector, OPTIVITY® is a scalable and customizable solution for inspection needs that focuses on rough, shiny and curved surfaces. The system monitors various parameters and detects anomalies such as surface patches, deformities and dimension tolerances that are not detected by the human eye

Contact us for more information:

Griffyn Robotech Pvt. Ltd.

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