The important starting point for machine vision applications is the details in the image. A higher quality starting image requires less software workarounds, which enables you to focus on your core technology. The question is then, are you getting the details you need from your image? Would a better image be beneficial?
In August, we started a list of blogs that are a helpful resource on machine vision and industrial camera topics. We received some tips from our readers on additional great blogs.
The latest machine vision camera technology can allow for improvements in intelligent traffic system (ITS) performance to minimize detection time in case of accidents, increase the detection rates in cases of violations, and minimize overall costs from police time and traffic jams. With decreasing budgets, these systems also need to maintain reasonable costs and prove…
Intelligent Transportation Systems (ITS) are constantly becoming more sophisticated and one recent trend is the increased use of machine vision cameras. We at Adimec have several new customers and many more inquiries to use our cameras in intelligent traffic systems, primarily high speed license plate recognition applications for now. Some other traffic applications for our…
Choosing the correct industrial camera for your system from the beginning can eliminate costly redesigns or upgrades in the future. The question is, how do you determine the best camera? Best is always subject to your needs.
Choosing the correct industrial camera for your machine vision system from the beginning can eliminate costly redesigns or upgrades in the future. The question is, how do you determine the best camera? Best is always subject to your needs. For Step 1, click here.
Usable images for ALPR are sharp, contrast rich and without artifacts. Reducing image sensor artifacts is probably the most difficult thing to do, but here are some artifacts that camera manufacturers can help to remove or minimize that are specific to the needs of ALPR:
Now that you have done what is possible to get a sharp image for your OCR algorithm for automatic license plate recognition, another image quality parameter that is critical is contrast.
Sharpness of the image is one important component that influences the accuracy of ALPR systems Especially in high speed ALPR systems such as open road tolling, it can be a challenge to get the required sharpness.
OCR algorithms work better with high quality images for accurate Automated License Plate Recognition ALPR
Unlike what is shown on TV, you cannot zoom into a blurry image and expect to get more details. An image with acceptable sharpness and contrast must be acquired with the appropriate system from the start. This means the right image sensor, camera, optics, and lighting all combined in a reliable way.