iDetect-4.0

The world’s first sound-based AI Multi-Agent system
for Advanced Quality Control and Predictive Maintenance

Each operating mode (quality, maintenance) is powered by a dual-headed deep learning AI (DavinSy). One creates deep learning models used in production, and the other continuously improves model performance based on corrections made by the operator and validation by the quality engineers.

Ultimately, iDetect-4.0 empowers autonomous Machine Learning Operations (MLOPs), eliminating the need for additional infrastructure while significantly enhancing manufacturing processes.

iDetect-4.0 interfaces

SOUND ACQUISITION CHAIN

iDetect-4.0 supports up to 4 microphones at 48Khz to listen to the machine. Reference implementation by Optimaxes relies on an Advantech -USB 5801.

REMOTE ADMINISTRATION AND SYSTEM INFORMATION INTERFACE

All data and processes are local and autonomous. This is also true for the MLOPS features. The only effort requested for IT is the periodic backup of the system. iDetect-4.0 makes sure to keep the storage size under control, and thus regularly backup and clean its data (records, models, inference results). The backed files are stored in a shared folder, up to IT to monitor and archive those files).

IDETECT-4.0 MAIN FEATURES

iDetect-4.0 relies heavily on DavinSy agents’ collaborative possibilities. Each machine mode is associated to a specific agent, a central agent is also responsible of qualifying the different created models following the quality policy.  Inside each agent several successive models allows for an agile and explainable detection of issues and anomalies.

iDetect-4.0 Functional description

HANDLE AUTOMATIC BACKUP AND CLEANING

Depending on administrator’s configuration, iDetect-4.0 will run cleaning and archiving tasks both on audio records and database content. Configuration and usage will be detailed later.

INFERRING ANOMALIES DETECTION: POWERED BY DAVINSY AGENTS

When a signal is received, it is forwarded to intended agents (depending on the source of the signal and the selected mode) that will classify it and gives a result indicating the quality of the produced item. The result is sent back and stored into the database. DavinSy agents rely on their built-in communication capabilities to send events to the super-agent and refresh the UI.

QUALITY, AND DEPLOY NEW MODELS

A Specific DavinSy Agent is dedicated to the qualification process for new models. On demand from a user with the quality role, a new model can be generated gathering a test dataset following the settings of the quality policy. As background task several inferences are run on each record of the test dataset and a quality score is computed. This new model if satisfying can be deployed without stopping the production.

USER MANAGEMENT

As described before users with different roles will interact with iDetect-4.0: the operators, the people in charge of quality and people in charge of administration. Those different roles get different rights and access to different functions. As for now, iDetect-4.0 handles a simple login/password scheme.

iDetect-4.0 Implementation

In addition, 3 extra services run outside the docker, directly on the host:

1. The Audio driver, responsible for capturing signal coming from the sound card, If you want to implement such a component for your own sound card, details are to be found in the API Documentation.
2. The communication service, making the bridge between the automaton and, iDetect-4.0, If you need to write such a component for a particular protocol not yet supported by iDetect-4.0, the protocol is details in the API Documentation.
3. The licence manager is responsible for checking that agent licence grant it the right to run on this specific hardware

When a persistent storage is needed (for raw records, database or agents files) a volume is created to allow an update of the container containing the code without losing the data.