If you own a business that greatly relies on consistent quality control then you must have heard of Vision Inspection Systems that work on machine vision technology for defect inspection.
Earlier versions of vision inspection systems were rule-based that required high training time and did not support real-time decision-making. Over the last decade, technological changes and advancements have completely changed the face of machine vision technology.
Advancements in the field of data analytics, Artificial Intelligence (AI), Internet of things (IoT), Blockchain, and robotics came out of R&D-labs. Gone are the days when people believed that robotics, automation, self-driving cars are just concepts. The future is here.
Let’s understand what exactly machine vision is and how it is leveraging new-age technologies to automate the process of quality control in production lines.
Did you know?
In 2017, the global machine vision market was valued at $7.91 billion. By 2023, this number is expected to reach $12.29 billion with a CAGR of 7.61%.
What is Machine Vision?
In technical terms, machine vision combines vision technology such as high-resolution cameras, big data, and image processing to enable a computer to interpret visual data without any human intervention.
Currently, machine vision systems are widely being used in industries that require accuracy, gauging, defect inspection, and identification processes. This cutting-edge technology has enormous applications across healthcare, agriculture, manufacturing, packaging industries.
Why should businesses use Vision Inspection Systems?
Since its inception in the 1950s, machine vision has grown from conceptual computer science to an integral part of the manufacturing industry.
The latest advancements have made this technology offer incredible solutions that help in defect inspection, product sorting, and completing a variety of tasks more efficiently and accurately than humans could ever do.
Any business that relies on product manufacturing and wants to achieve a specific quality standard could potentially benefit from this technology by integrating it into their manufacturing process.
Applications of Vision Inspection System
Machine Vision technology can be implemented in any industry where quality control is necessary. For instance, vision systems can assist robotic arms to detect the positioning of a product on the conveyor belt to further streamline and automate the manufacturing process.
Data collected by the vision systems can also help in improving the efficiency in production lines, sorting, packaging, and many other applications. Moreover, it can also help in the detection and classification of defects that can drastically improve the quality of the final product.
Industries Using Vision inspection systems
Because Vision systems combine various technologies, their design can be customized to meet the requirements of any industry. Due to this, many industries use this technology for quality control and even for security purposes.
Industries that are using machine vision inspection systems include Robotics, Pharma, Food & Beverage, Automation, Semiconductors, Consumer Goods among many other manufacturing and non-manufacturing companies
Heavily regulated industries like Pharma, Electronic Component Manufacturing & Medical Devices are increasingly relying on AI-based defect inspection systems to detect anomalies in their products.
For the pharmaceutical sector, defect inspection and risk minimization are of paramount importance. Therefore, the vision inspection system undoubtedly plays an instrumental role in mitigating errors due to human limitations.
The fourth industrial revolution represents the information-intensive transformation of the manufacturing industry with well-networked machines and processes for real-time data exchange.
Manufacturing is a highly diverse process that aims at reducing waste, enhancing flexibility, decreasing product cost, and detecting defective products. While industry 4.0 continues to evolve, machine vision will take active shape and eventually become an essential element of smart manufacturing technology.
Empowered by big data, AI and deep learning, machine vision has come a long way since the time when it could only tell the pass / fail status of the product. With AI and Deep learning, it has now become an intelligent system which can accurately differentiate between a defect and natural variation along with defect inspection and classification.
Machine Vision trends
While many big things are expected in the coming year from the machine vision market, Here are a few of the trends that are currently changing machine vision technology.
- Industrial Internet of Things (IIOT): While AI and IoT are the providers of long-term growth, IIOT is boosting the productivity of today’s factories by connecting production data with information technology. Data collection in IIOT heavily depends on machine vision.
- Non-Industrial Applications: Apart from industrial application, machine vision is also being utilized for many non-industrial uses for instance: Autonomous cars, drone applications, Intelligent traffic systems, etc that often call for different functionality of machine vision
Innovation comes with market growth. There are exciting things on the horizon of vision technology and machine vision. Its benefits and applications are all helping buoy today’s machine vision market, but there is a lot to be unveiled by this technology that’s gonna affect the long-term market expansion.
To know more about machine vision technology and how it can assist your business in getting a best-in-class quality control system, visit our dedicated page.
Are you looking for Machine Vision Solutions?
KritiKal’s deep-learning-based defect inspection system provides fast and accurate solutions for AI-based Defect Inspections like Barcode Reading, 360° Inspection, 3D Imaging, Robotic Guidance, and Surface Inspection. With 18+ years of experience in designing and developing vision systems, we have 250+ Clients across the World
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