Carbon Soot detection using Custom Object Detection model
What is Carbon Soot? Carbon soot, or simply soot, is a black powder of carbon particles formed fr...
3 Mins read
Posted on Feb 16, 2024
February 20, 2024
2 Mins read
Many recurring activities are being solved by AI-visual inspection and image processing. Particularly useful is this new technology for the manufacturing sector. There are several laborious operations in the manufacturing unit for processing, sorting, and grading materials. Your comprehension of the advantages of automation will be deeper. However, because of sensory limitations, the automatic systems haven’t been implemented correctly. As computer technology progresses through the application of machine learning and artificial intelligence, this situation is beginning to change. Let’s now examine the benefits of AI image processing for creating and growing enterprises.
Detect defects in production
Conveyor belt quality monitoring using computer vision technology is becoming more and more common in manufacturing and production facilities. This is how it operates:
Image Capture: A camera takes pictures of goods as they move along a conveyor belt. Mounting the camera on a moving platform or fixing it there will allow you to take pictures from various perspectives.
Image Processing: Computer vision algorithms are used to process the camera’s collected images. These algorithms are able to recognize irregularities and flaws in the items, such chips, cracks, or missing parts.
Classification: The products are divided into many groups according to their flaws and quality. Products that are deemed to be of sufficient quality are removed from the line, while those that do not are permitted to stay on the conveyor belt.
Sorting: Various categories can be used to classify defective products according to their nature. This enables manufacturers to find the source of the issue and implement fixes.
Reporting: To enhance production methods and lower errors going forward, data on product quality and flaws can be gathered and examined.
Conveyor belt computer vision identifies irregularities in quality, including color, cracks, and the direction of the moving object.
This application allows for timely quality checking of bolts on a conveyor belt by measuring the object’s length and breadth in millimeters.
Applications
Applications for computer vision in quality control on conveyor belts in manufacturing and industrial facilities are numerous. Here are a few particular instances:
Inspection of Product Quality: Product photos taken on a conveyor belt can be analyzed by computer vision algorithms to find flaws like chips, cracks, discolouration, or missing pieces. By doing this, it may be possible to guarantee that only top-notch goods are introduced to the market.
Label Verification: Verifying label and packaging information, including barcodes, expiration dates, and product numbers, is another application for computer vision. By doing this, you can make sure that clients receive the appropriate products in the proper packaging.
Counting and Sorting: Products on a conveyor belt can be counted and sorted using computer vision based on predetermined standards like size, shape, or color. Manufacturers may benefit from this by streamlining their processes and streamlining their supply chain.
Machine Vision Inspection: Conveyor belt machine performance can be examined with the aid of computer vision. Defects like as wear and tear, incorrect assembly, or broken parts can be recognized by the algorithms. By doing this, manufacturing efficiency may be increased and equipment problems can be avoided.
Quality Control Analytics: Data on product quality and flaws can be gathered using computer vision, and then examined to spot patterns and trends. This can assist producers in streamlining their workflow and raising the caliber of their output.
Carbon Soot detection using Custom Object Detection model
3 Mins read
Posted on Feb 16, 2024
This privacy policy sets out how Scanflow uses and protects any information that you give Scanflow when you use this website. Scanflow is committed to ensuring that your privacy is protected. We shall ask you to provide certain information by which you can be identified when using this website, then you can be assured that it will only be used in accordance with this privacy statement.
Scanflow may change this policy from time to time by updating this page. You should check this page from time to time to ensure that you are happy with any changes.
What We Collect
We may collect the following information:
Name and job title
Contact information including email address
Demographic information such as postcode, preferences and interests
Other information relevant to customer surveys and/or offers
What we do with the information we gather
We require this information to understand your needs and provide you with a better service, and in particular for the following reasons:
Internal record keeping.
We may use the information to improve our products and services.
We may periodically send promotional emails about new products, special offers or other information which we think you may find interesting using the email address which you have provided.
From time to time, we may also use your information to contact you for market research purposes. We may contact you by email, phone, fax or mail.
We may use the information to customize the website according to your interests.
Security
We are committed to ensuring that your information is secure. In order to prevent unauthorized access or disclosure, we have put in place suitable physical, electronic and managerial procedures to safeguard and secure the information we collect online.
How we use cookies
A cookie is a small file which asks permission to be placed on your computer’s hard drive. Once you agree, the file is added and the cookie helps analyze web traffic or lets you know when you visit a particular site. Cookies allow web applications to respond to you as an individual. The web application can tailor its operations to your needs, likes and dislikes by gathering and remembering information about your preferences.
We use traffic log cookies to identify which pages are being used. This helps us analyze data about webpage traffic and improve our website in order to tailor it to customer needs. We only use this information for statistical analysis purposes and then the data is removed from the system.
Overall, cookies help us provide you with a better website, by enabling us to monitor which pages you find useful and which you do not. A cookie in no way gives us access to your computer or any information about you, other than the data you choose to share with us.
You can choose to accept or decline cookies. Most web browsers automatically accept cookies, but you can usually modify your browser setting to decline cookies if you prefer. This may prevent you from taking full advantage of the website.
Links to other websites
Our website may contain links to other websites of interest. However, once you have used these links to leave our site, you should note that we do not have any control over that other website. Therefore, we cannot be responsible for the protection and privacy of any information which you provide whilst visiting such sites and such sites are not governed by this privacy statement. You should exercise caution and look at the privacy statement applicable to the website in question.
Controlling your personal information
You may choose to restrict the collection or use of your personal information in the following ways:
Whenever you are asked to fill in a form on the website, look for the box that you can click to indicate that you do not want the information to be used by anybody for direct marketing purposes
If you have previously agreed to us using your personal information for direct marketing purposes, you may change your mind at any time by writing to or emailing us at info@scanflow.ai We will not sell, distribute or lease your personal information to third parties unless we have your permission or are required by law to do so. We may use your personal information to send you promotional information about third parties which we think you may find interesting if you tell us that you wish this to happen. If you believe that any information, we are holding out from you is incorrect or incomplete, please write to or email us as soon as possible at the above address. We will promptly correct any information found to be incorrect.