Well, artificial intelligence is turning out to be a huge game-changer. Countless applications are running on it in every domain. Most importantly, it is making its way into the area of manufacturing and production, thereby allowing one to harness the power of deep learning. And one among them is the visual inspection machine.
What Is Visual Inspection?
It is a procedure that contains the analysis of products right on the production line and that too for the purpose of quality control. Here visual inspection is used for external and internal assessment of many types of equipment present in the production facility like pressure vessels, storage tanks, and other major equipment.
Just think of it as a process occurring at regular intervals of time like a day-to-day basis. As per the visual inspection system manufacturer, you might come across most of the common defects in the production with a visual inspection device.
When And Where Does Visual Inspection Required?
As it is commonly known, the visual inspection machine is used for manufacturing quality products and defect assessment. But in a non-production environment, it can be used for checking out whether the features are indicative of the target that are present and preventing the potential negative impacts.
You can use visual inspection devices for –
Detecting the defects present in the VLSI Wafers
Inspecting automatic parts for defect
Inspecting cars for surface defects
Identifying defective products right on the assembly line
Among the various industries that use visual inspection, there are many where visual inspection is thought to be of very high consequence. It is high priority activity as there is a potentially high cost involved in terms of errors that might happen during the inspection like a fatality, injury, loss of expensive equipment, rework, scrapped items, etc.
Why Manual Inspection Method Won’t Work?
There are various limitations to the manual inspection method. The first and foremost disadvantage is the requirement of a person or inspector to assess the product’s quality. Here one needs to know is that the individual’s eye might not be sharp in inspecting and passing judgment about the product.
Another one is that it leads to missing an existing defect and even sometimes incorrectly identifying the defect that does not currently exist. Here misses are more frequently going to occur compared to a false alarm in human inspection methods.
Visual Inspection Method – A New Age Alternative
Well, there is no doubt that visual inspection systems are the best and modern methodologies of production. The kind of advancement a visual inspection system manufacturer brings is highly integrated with artificial intelligence.
Before indulging in the various service providers of a visual inspection machine, you need to have a good understanding of what the vision inspection system can do.
The intelligent inspection system has a camera or a series of various cameras that feature even the lighting and video. The vision system can measure parts, verify various parts and check whether it is in the correct position, and finding out the various shape of parts.
The top 5 visual inspection system manufacturer you can find doing business in China are –
1, Shenzhen Sipotek Technology Co., Ltd.
Shenzhen Sipotek Technology Co., Ltd. is a professional automatic visual inspection machine ,automated vision inspection system,industrial machine vision camera,automated optical inspection machine ,optical sorting machine manufacturer from china with low cost and high quality.
Since its establishment 15 years ago, Shenzhen Sipotek Technology Co., Ltd. has been committed to the research, development and manufacturing of image technology and machine vision, with more than 70 senior R&D personnel of machine vision system and industrial automation engineers. The company’s key technical personnel are mainly from huawei, byd, foxconn and other first-class manufacturing enterprises, with many years of mature experience in software design, visual and image comparison technology, industrial automation and other aspects.
Between them, our three founders have four PhDs, 19 patents, and decades of experience working together to create groundbreaking AI. It started in a coffee shop in 2006: Max said to Anatoli, “Someday we’ll be able to run these models on a cell phone.” Anatoli promptly spit out his coffee. Just a few short years later, we created The Neurala Brain, our award-winning and patented AI technology that can run on the edge and on the lightest of devices. It’s based on advanced research work cofounders Versace, Gorchet and Ames conducted for NASA, DARPA and the Air Force Research Labs.
JLI is solely involved in the development, manufacturing and installation of computer vision systems for industry and laboratories. JLI systems are delivered as turnkey systems with a functional guarantee at a fixed price and delivery time. Our vision systems give you reliable and flexible production control that secures your quality control many years into the future.
4, China Inspection Service Co., Ltd.
China Inspection Service Co., Ltd. (CIS) is delegated by China government providing Factory Audit and Product Inspection services in China for importers around the globe. With a sound knowledge of the Western markets and Quality requirements, we fully understand our customers’ needs in respect of accuracy and quality.
Our strictly internal audit policy guarantees first-hand information veracity and integrity for Our Clientss. Together with our profound experience and knowledge in quality area, it helped us earned great reputation from our customers.
We go beyond testing, inspecting and certifying products; we are a Total Quality Assurance provider to industries worldwide. Through our global network of state-of-the-art facilities and industry-leading technical expertise we provide innovative and bespoke Assurance, Testing, Inspection and Certification services to customers. We provide a systemic approach to supporting our customers’ Quality Assurance efforts in each of the areas of their operations including R&D, raw materials sourcing, components suppliers, manufacturing, transportation, distribution and retail channels, and consumer management.