AI-based Visual Inspection and Integration with Deep Learning
Running a manufacturing business is no child’s play. Amid cutthroat competition, manufacturers must develop innovative ways to stay afloat in the market by churning out well-made products, addressing rapid customer demands, boosting sales, etc. Often, time-consuming issues have been a setback for such businesses. The back and forth between engineering and sales teams have been a grueling, arduous task since creating CAD models and drawings takes meticulous work and a long time. However, CAD automation is a game-changer and, in all honesty, a lifesaver.
CAD Automation denotes automated tools and processes to create CAD models, manuals, and setup CAD workflows.
CAD automation adds value to an engineer’s craft by pushing innovation and also helps the sales team to provide accurate CAD data to boost sales.
Vision Based Inspection
With the remarkable growth in the demand for goods due to consumerism over the recent years, there has been an overwhelming production in the industry. A higher production speed demands a higher number of inspection checks and quality assurance. This is where the vision-based inspection system plays a significant role. The tendency in manufacturing industry these days is to migrate from the usual manual testing method to a vision-based inspection system. This is to ensure overall quality and obtaining high standards.
What Vision-Based Inspection System can do
Vision-based inspection systems, also known as machine vision systems, provides automated image-based inspection for a diverse industrial and manufacturing applications.
Two-dimensional (2D) and three-dimensional (3D) machine vision systems are now commonly used for robot guidance, automated inspection, quality control, sorting, and much more.
Vision-based inspection systems come furnished with a camera or multiple cameras, and even video and lighting, which makes them capable of measuring parts, verifying correct positioning of components, and recognizing part shapes and patterns. Vision systems are capable of measuring and sorting pieces at high speeds. Computer software processes images captured during the assession of data. The vision system is intelligent enough to –
Provide inputs that impact the function one is trying to assess, often triggering an operator to act,
be embedded in your system to provide a constant stream of information.
Applications of Vision-Based Inspection System
The vision-based inspection system plays a role in industries where quality control is necessary. Some essential aspects of the vision inspection system are as follows:
- Assisting robotic systems in acquiring the positioning of parts. It helps in further automation and streamlining the manufacturing process.
- The vision system collects data and helps improving efficiency in manufacturing lines, sorting, packing, and other applications.
- The information obtained by the vision-based inspection system can help identify problems with the manufacturing line or other functions to improve efficiency, stop inefficient or ineffective processes, and identify unacceptable products.
Industries using Vision-Based Inspection System
Depending upon the type of industry, production, and usage, vision-based inspection systems can be customized to meet the needs of many industries. As a result, many companies enjoy the use of this technology for quality control and even security purposes. Industries using vision inspection systems include:
- food and beverage,
- life sciences,
- medical imaging,
- consumer goods
The advantages of vision-based inspection systems include, but are not limited to, production improvements, increased uptime, and reduction in expenses. Vision systems allow companies to conduct 100% inspection of parts for quality control purposes. Hence, it ensures that all products will meet the customers’ specifications. If you want to improve the quality and efficiency of your industry, a vision inspection system could be the answer for you.