IIS Automation is a professional solution provider specializing in machine vision and image processing systems, emphasizing state-of-the-art, high-precision PC-based technologies. We cater to industries requiring meticulous attention to product quality, enhancing machine efficiency, minimizing errors, and reducing waste and downtime. With a team of over 15 expert engineers and specialists and more than 5 years of experience, we have successfully delivered
solutions across 20+ industries, ensuring reliable and efficient results
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Machine Vision is a system designed for inspection and analysis using industrial cameras as a substitute for human vision. It is primarily utilized in industrial applications to inspect and analyze components during the production process. This ensures that defective or substandard parts do not reach the customer, maintaining high-qualitystandards throughout the manufacturing workflow.
Due to genetic differences among individuals, human vision varies from person to person. This variation impacts the accuracy and clarity of inspecting workpieces during production
When humans become fatigued, it can affect their performance and increase the likelihood of human error in tasks.
The working environment for humans must be safe, without any health risks, and should not expose workers to hazardous or toxic conditions for prolonged periods.
The clarity and precision of a Machine
Vision system depend on the resolution of the camera and other components, such as lenses and lighting equipment. Once all parameters are configured properly, the system maintains consistent clarity and accuracy, unaffected by variability, unlike human vision.
Machine Vision systems can operate
continuously without concerns about fatigue or tiredness, unlike human workers
Machine Vision systems can function
effectively in environments unsuitable for humans, such as hazardous or toxic conditions, or in areas where prolonged human presence is not feasible.
Human vision and machine vision both play crucial roles in perception and analysis, but they differ significantly in speed, accuracy, consistency, and scalability.
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