Do you have a quality control problem?Would you like to create deep learning models without writing code?Are you a vision system integrator and looking for a simple but high-performance solution?
AI-go
No-code Vision AI platform for manufacturing
→ A wide range of pre-trained models.→ High performance even with just a few examples.→ Just a few minutes to go into production.→ Usable even without specific skills.
Try AI-go for free!
Use AI-go for 7 days and create your own deep learning models in a few minutes and with just a few examples.
Do you need support? Our experts are here to help!
AI-go: Vision AI in manufacturing
AI-go provides a wide range of pre-trained models for industrial artificial intelligence applications: visual inspection and quality control. Classification (binary, multiclass, and patch), anomaly detection, segmentation, and OCR (optical character recognition).
Thanks to the ability to use unsupervised models – trained only with good parts, with no need for scrap examples – AI-go drastically reduces the time for implementing the solution: from weeks to just a few minutes!
With AI-go, you’ll achieve better performance compared to computer vision solutions developed with traditional algorithms, greater flexibility, and robustness to operate in the industrial context.
In a short time, with minimal data and complete autonomy, you’ll build and deploy your own vision AI system for manufacturing!
AI-go addresses complex industrial problems
CLASSIFICATION
APPLICATIONS
Sorting defective or anomalous parts, verifying the presence of components and correct assembly, object detection.
TASK
Predicting the class of an image with confidence score.
AI-go supports two types of models:
- whole image classification: binary (good / scrap) and multi-class (defect type 1 / 2 / n)
- patch-based classification (dividing the image into smaller parts).
ANOMALY DETECTION
APPLICATIONS
Identification and localization of defects or anomalies.
TASK
Precise detection of a defect and generation of a heatmap that allows the machine operator to visualize the “anomalous” area identified by the algorithm, making the neural network’s judgment “explainable”.
AI-go learns to detect defects solely based on images of good parts (unsupervised learning), without the need for examples of scrap parts.
SEGMENTATION
APPLICATIONS
Sorting and differentiation of defects or components and products, analysis of geometries, defect measurement.
TASK
Accurate localization of a defect and generation of a pixel-level mask defining its area, accessible to the line operator for further investigation and validation of the model’s output.
AI-go supports multi-class segmentation models that allow the differentiation of defects based on categories predefined by the operator.
OCR - optical character recognition
APPLICATIONS
Reading labels and codes, especially when a highly accurate performance is required.
TASK
Recognition of printed characters even on irregular surfaces (such as vials, bottles, jars, bags, blisters, and tubes), with non-uniform print quality or embossed and dotted industrial characters.
Benefits
PRE-TRAINED MODELS
Automatically select the most effective pre-trained model to solve your problem and specialise it through a few examples.
FAST DEPLOY
Using unsupervised models – which learn from examples of good parts and do not require scrap parts – drastically reduces the time to deploy the vision AI solution from weeks to minutes!
GREAT PERFORMANCE
Maintaining performance over time while ensuring an adequate level of model “explainability”.
USER FRIENDLY
No specific skills are required and it can be used by people without previous knowledge of computer vision, programming or vision AI techniques.
VALIDATION AND MONITORING
Manage the validation of new models before deploying them into production, monitor them remotely to ensure they are working properly, and schedule automatic re-training to improve their performance over time.
QUICK AND EASY INTEGRATION
Easily integrated with existing vision systems. Are you a vision system integrator? Join the Machine Vision GeeX Program!
SMALL-SIZED MODELS
Models are automatically optimised to operate even on devices with reduced computational power (IoT, edge computing).
STRONG AND STABLE FOR INDUSTRIAL USE
Designed to operate in industrial scenarios, considering aspects usually ignored by generalist solutions such as cycle time, inference speed and reliability.
Ready to production in few minutes
01. Collect
The inception of an AI model involves the crucial step of collecting sample data. AI-go streamlines this process, offering a seamless experience for users to directly upload images from the production line. This empowers them to selectively choose the datasets that are pivotal for achieving effective model training.
02. Label
According the specific problem type, it is necessary to annotate the acquired images, furnishing the model with meaningful examples for optimal learning:
- classification: distinguish images, categorizing them into various defect categories.
- segmentation: highlight the defect within the image, delineating its boundaries and assigning a corresponding label.
03. Train
AI-go offers a suite of powerful pre-trained models, demanding only minimal specialization through a handful of examples. Consequently, the training time is remarkably brief (mere minutes), while delivering exceptional performance.
04. Test and validate
AI-go empowers users to manage the validation of new models before deploying them into production, monitor them remotely to ensure they are working properly, and schedule automatic re-training to improve their performance over time.
Take your Vision Systems to the next level with AI-go
Join the Machine Vision GeeX Program!
An exclusive plan designed for companies with experience in machine vision, to facilitate access to vision AI and integrate its potential in an effective and innovative way in complete synergy with traditional solutions.
As a Machine Vision GeeX, you’ll have direct access to our special on boarding package and full partnership benefits, like training sessions with our Data Scientists and Vision Experts.
AI-go: 5 steps integration
1 – SETUP CONNECTION: aigo_attach_runtime
2 – UPLOAD MODEL: aigo_load_model_request
3 – UPLOAD IMAGE: aigo_image_from_memory
4 – INFERENCE: aigo_predict
5 – GET OUTCOME: aigo_get_outcome
The integration of AI-go into vision applications is very simple and fast, through a few intuitive functions. Moreover, the structure is the same for all models supported by AI-go (classification, anomaly detection or segmentation).
Case studies
CRACK DETECTION, AUTOMOTIVE
Vision AI for pinion quality control. Identification and localisation of cracks.
ANOMALY DETECTION, MANUFACTURING
Detection and localisation of anomalies on the surface of electronic boards.
QUALITY CONTROL, PHARMA
A new generation of inspection machines, equipped with artificial intelligence for vial visual inspection.
DEFECT DETECTION AND CLASSIFICATION, AUTOMOTIVE
Automatic detection and classification of surface defects on small metal components for the automotive industry.
OCR - CRIMP PRINTING, PHARMA
OCR control to read the lot number, printed with dotted font, on the curved surface of vials necks.
QUALITY CONTROL, MANUFACTURING
Artificial Intelligence for in-line quality control of metal and rubber components.
Is your application particularly complex and you need support?
Do you require a tailor-made model for your specific use case?
Lack internal expertise to design the suitable vision system for your application?
Orobix can assist you with comprehensive consulting services, providing expertise and experience to help evaluate the most appropriate solution for your specific needs.