If the Human Eye Sees, it sees too.
Even More and Faster.
Dataguess Inspector is a computer vision solution for autonomizing your quality control processes in manufacturing.
It easily performs operations such as error detection, error classification and absence detection.
Dataguess Inspector is equipped with advanced deep learning algorithms and algorithms that automatically perform the data flow process.
Easily train, deploy, and start using your AI model with CV Studio. Take advantage of the benefits provided by Dataguess Inspector.
Yapay Zeka ile Kalite Kontrol
INSPECTOR
ALL-IN-ONE
PACKAGE
We've taken care of every detail.
It is a solution package that includes all of the necessary software and hardware for a computer vision system.
Industrial Edge AI PC
These PCs are ready-to-use computers with predetermined and tested hardware features based on the license package you select. They are resistant to the conditions of an industrial environment (IEC compliant).
Industrial AI Camera
Designed to be used by anyone, anywhere. Computer Vision's Swiss Army Knife.
Dataguess CV Studio
It is a no-code AI/CV platform that includes all the features you will need in computer vision applications (dataset creation, training, testing, and deployment).
Dataguess Inspector License
This is a license for the software that runs the AI model that you train on the Edge AI PC.
Quality Control in Manufacturing with Defect Detection
Implementing quality control with computer vision applications provides faster and more accurate results than conventional methods. This technology facilitates a more effective quality control procedure and aids in the early detection of manufacturing process flaws. Furthermore, computer vision-based quality control procedures can enhance manufacturing quality by identifying mistakes that humans might overlook.
Defect Detection & Surface Quality Control
With computer vision technologies, surface quality control is performed using image processing, artificial intelligence, and machine learning techniques, providing fast, accurate, and sustainable results. In this way, it increases efficiency in the production process and helps to detect defective products early.
Defect - Error Classification
and Counting
Classification with computer vision is the process of automatically classifying identified defects into different categories. For instance, painting flaws, fractures, and deformations are examples of defects in a product manufactured on a production line. This procedure guarantees that identified defects are properly categorized and counted.
Main Features
You can upload, label, and classify any image using the labeling interface. You can also update datasets at any time.
Build Your Datasets, Create Your Computer Vision Library
NO-CODE
NO-CODE
You do not need to know coding
Dataguess Inspector is a product that does not require coding, does not necessitate long software training processes, and can be used by anyone, whether they are software developers or not.
You can easily train a product or object without the need for external assistance, and when you make an update, you can retrain your AI model and keep using it.
Train as many objects as you need or update existing ones
Dataguess Inspector supports standard communication protocols. This makes it easy to integrate it into your own IT systems.
Integrate into your IT Systems
Yes, you can run multiple models, even dozens of them. The performance of the system depends on the model you will use, the FPS and resolution of the incoming data, and the GPU performance of the hardware you will use.
In Dataguess CV Studio, you mark the images you upload to the Inspector project by placing them in squares defined by the classes you created during the "labeling" phase of the project. These markings are evaluated by the artificial intelligence engine in the next "training" phase of the project and used to create the trained model.
Achievable performance can be up to 120 fps (i.e., 1/120 second per image), but system performance will vary depending on the following factors:
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The speed of the line, ambient conditions, ambient lighting where you will perform quality control
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Performance and quality of hardware such as cameras and GPUs
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The size, resolution and dataset quality of the computer vision model you have developed (clear visuals, precise labeling, false positive removal, etc.)
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You can perform your AI model training on CV Studio, which is completely free to use, and deploy it on any Edge AI computer of your choice.