Brain Builder for AITRIOS
Brain Builder for AITRIOS walks you through the necessary steps to efficiently label, train, and deploy custom AI models for the Raspberry Pi AI Camera with minimal coding expertise.
Note: Brain Builder for AITRIOS is for enterprise/business users.
Create and Deploy AI Models in 3 Steps
Start by selecting your desired dataset. Next, Brain Builder will analyze the dataset and train an AI model from the data. After training the model to fit your needs, interpret the results and apply the output to your project.
The Classifier model type can help you efficiently classify entire images or specific regions into predefined classes.
It outputs labels ranked by confidence (for example, "apple: 80%", "peach 40%") ensuring clear and actionable insights.
Ideal for various use cases, including sorting product images into categories, like fruits (apple, orange, banana) or classifying X-rays as "healthy" or "abnormal", the model operates on the image without pinpointing specific objects, resulting in faster and more accurate results when categorizing precise tasks.
Key Benefits
Use Brain Builder for AITRIOS to speed up your AI model creation.
Creating AI models is easy and no coding is required. Brain Builder makes training and deployment effortless, with no need for AI or machine learning expertise.
Easily label, train, and deploy AI models to edge devices. Set your preferences, and Brain Builder will automatically select the best-performing model.
Quickly build AI models using as few as 50 images per class. Brain Builder's pre-trained models ensure you get accurate results in just a few hours.
Brain Builder for AITRIOS allows you to accelerate development in just three steps, unlike other solutions that demand coding skills and extensive time.
It also simplifies the process by handling model preparation, training, validation, optimization, and compiling all at once with a single model template selection.
Brain Builder - Classifier/Detector for AITRIOS
Brain Builder for AITRIOS
Download Brain Builder for AITRIOS installation package
Download Brain Builder for AITRIOS installation package
Classification Tasks: Categorize data for better insights
Classification Tasks: Categorize data for better insights
Detection Tasks: Identify and locate specific objects
Detection Tasks: Identify and locate specific objects
Anomaly Hi-Fi Tasks: Detect outliers with high precision
Download Brain Builder for AITRIOS
This download package contains a trial license of Brain Builder - Classifier/Detector for AITRIOS for 10-days free of charge. After your trial, you can purchase an extended license from one of our resellers.
To unlock the features of either Brain Builder - Classifier/Detector for AITRIOS or Brain Builder for AITRIOS after your purchase, you do not have to download the package again.
| Title | Date | Size | Download |
|---|---|---|---|
Title | Date November 12, 2024 | Size 7.1 GB | Download |
Title | Date November 12, 2024 | Size 5.5 GB | Download |
Title | Date November 12, 2024 | Size 6.7 GB | Download |
Title | Date November 12, 2024 | Size 5.5 GB | Download |
Note: CodeMeter Runtime is required to use Brain Builder for AITRIOS. Download it here.
For the best performance of Brain Builder for AITRIOS, please refer to the system requirements table provided below.
System Requirements | Brain Builder for AITRIOS (GPU/CPU) |
|---|---|
System RequirementsOperating System | Brain Builder for AITRIOS (GPU/CPU)Windows 10 or Windows 11 |
System RequirementsCPU | Brain Builder for AITRIOS (GPU/CPU)Minimum: Intel i5 Coffee Lake |
System RequirementsGPU | Brain Builder for AITRIOS (GPU/CPU)Minimum: Nvidia GTX 10xx (8+GB VRAM) Recommend: Nvidia RTX 20xx, 30xx, 40xx (10+GB VRAM) *Not applicable for the CPU version. |
System RequirementsMemory | Brain Builder for AITRIOS (GPU/CPU)Minimum: 16GB |
System RequirementsStorage | Brain Builder for AITRIOS (GPU/CPU)32GB or more space available |
Support is available from the moment of purchase through your distributor. If you require assistance, please contact your distributor directly.
