Test software AISDetector

qualityanalysistracking

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 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