AISDetector
AI-based application software for product-quality inspection during production phase
- High-precision diverse algorithms
- Zero-code model generation
- Model validator: Adjust model sensitivity
- Model predictor: Predict with test data
- Windows 10 and Windows 11 64-bit editions supported
- English, traditional Chinese and simplified Chinese languages supported
- Notification and software-upgrade mechanism
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Overview
ASUS IoT AISDetector is an on-premise AI signal-analysis and anomaly-detection tool empowered by AI technology developed by ASUS IoT. AISDetector facilitates the process by providing both training and inference working models, thereby simplifying AI-model development and management. Developers can utilize AISDetector for building specialized AI models, tracking training progress information, performing model training, model validation and conducting anomaly-detection testing.
AISDetector provides a user-friendly interface for model training and validation, and then leverages resulting models to test for defective products. The system includes a versatile web API to enable developers to draw signal-data inferences derived from a variety of sensors, including vibrations, sound and current – all powered by a unique and ever-evolving ASUS IoT AI algorithm.
AISDetector provides a user-friendly interface for model training and validation, and then leverages resulting models to test for defective products. The system includes a versatile web API to enable developers to draw signal-data inferences derived from a variety of sensors, including vibrations, sound and current – all powered by a unique and ever-evolving ASUS IoT AI algorithm.
AI Software Project Management
Managing multiple AI models and use cases
Utilize AI project tools to manage essential information for various signal scenarios. Develop anomaly-signal-detection models effortlessly using the AISDetector zero-code AI toolkit.
Multi-Sensor Data Integration
Supporting common data formats for signal acquisition or import
Our system seamlessly integrates with three common signal data import formats: CSV, JSON and WAV. It supports data sources from sensors such as vibration, sound, voltage or current. Quality signal data enables efficient model training through AISDetector.
One-Minute Model Training
Rapid model development
Train an effective AI model in just one minute, and with just four simple steps. This rapid training process allows for quick establishment of models to detect anomaly signals. Unsupervised learning requires only CPU for training and verification.
Intuitive Model Validation
Facilitates quick model validation and tuning
Easily validate and fine-tune the model by adjusting its five key features. Once AISDetector has generated and validated a model, it can be exported for further application development through AISDetector's extensive API libraries (C, C++, C#, Python).
Built-in Model Testing Tools
Convenient Verification Tool
AISDetectror makes it easy to conduct tests with real-time pass/fail results displayed on the screen through the inference of live signal inputs.
Applications
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Manufacturing
Defect Detection
- Operating System: Android
- Memory: 2GB/ 16GB
- Battery Life: Continuous for 4 hrs.
- Service: Zenbo Lab, Zenbo Scratch 3.0, Developer tools, Zenbo Management Console(ZMC)
