BLOG

September 7, 2018

CAN ARTIFICIAL INTELLIGENCE HELP PRODUCT COSMETIC INSPECTION AND GRADING?

The process of cosmetic inspection and Grading is a mainstay in many industries. It is the process of dividing the products into groups which are similar in quality for their finished look for patches, cracks, scratches and digs or dents. Products are separated based on their quality and grouped in lots according to their grades

Manual Cosmetic Inspection and Grading is implemented in varied industries such as:

  • Electronic goods
  • Refurbished products
  • Jewellery
  • Clothing
  • Food products and many more

One market which is using grading to a large extent is refurbished electronic equipment market. Refurbished products are deeply tested for functionality and defects before they are sold to the public. For a user who intends to buy a refurbished product – maybe an iPhone or a refurbished MacBook – an important concern is the cosmetic condition. The buyer needs to be given the confidence that the product is in good condition. A buyer would obviously like to know if the product has been properly repaired by the producer or not abused by the previous user.

An industry which functions and reaps profits based on the quality of the product delivered, requires grading. The advantages of grading are many:

  • Assured quality: A graded product assures the buyer/ user of a certain level of quality which he can trust. Some products have a uniform grading across the globe.
  • Better pricing, improved profits:
  • Reduction of Marketing cost:
  • Brand loyalty:

Today the demand is growing for good quality products. This requires a robust automated inspection and grading system. A system which can detect defects and quality issues. Traditionally this has been done manually, by feeling and observing a product. But results derived out of manual observations are subjective in nature. Manual processes are also time consuming as they involve various levels of inspection.

To overcome these limitations the need of the hour is machine vision technique in grading. The hardware processes like camera and the computer are integrated to capture product images. Thereby the image is processed and compared to set standards and checked to arrive at a specified quality grade. This process not only reduces time but also dependence on skilled labour. Artificial Intelligence and Machine vision techniques incorporated in grading systems, assure a new level of repeatability and quality.

Griffyn Robotech is one of the leading players in developing AI based cosmetic inspection and grading systems based on machine vision techniques. Griffyn’s product DEEPSIGHT is considered to be the world’s most advanced cosmetic grading machine for mobile phones and tablets.

The machine scans and checks incoming devices consistently and accurately. DEEPSIGHT® is able to scan defects and scratches which are as small as 40 microns. In comparison to this, a human hair is 90 microns in width. This gives DEEPSIGHT® an ability to ‘see the unseen’ and produce high quality grades for the products.

With inbuilt abilities of Machine Learning, DEEPSIGHT® has the ability to improve on each run of scan, resulting in upscaling of grades. But DEEPSIGHT®, is not only about machines. A human operator can review the raw and processed images and itemize the parameters for a grade. Thereby developing a grading parameter almost at run time.

With DEEPSIGHT® you are able to:

  • Eliminate subjectivity
  • Achieve fast and accurate results
  • Be adaptive and flexible
  • Easily configure grading parameters as per your needs

Deepsight and other similar products of Griffyn can be implemented in Electronics Goods, Telecom, FMCG, Ceramics, Automobiles, Heavy Machinery and Pharmaceutical industry.

Leave a Comment

Your email address will not be published. Required fields are marked *