Neurocle Neuro-T Engine Auto Deep Learning Training Engine

Highlights

Neurocle Neuro-T Engine is a high-performance Auto Deep Learning training engine designed for integration into industrial equipment, software, and custom AI vision systems.

Operating through API or CLI execution modes without a fixed UI, Neuro-T Engine allows training and retraining capabilities to be embedded directly into existing applications and on-site production environments.

From Equipment Data to Updated Model

STEP 1

Integrate

Connect Neuro-T Engine to your software or equipment through API or CLI.

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STEP 2

Train & Retrain

Use on-site production data to train new models or update existing inspection models.

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STEP 3

Operate

Return updated models to the production inspection workflow as conditions change.

Designed for Custom Inspection Systems

No Fixed UI

Build your own operator interface and workflow while Neuro-T Engine provides the underlying Auto Deep Learning training functionality.

Equipment-Level Training

Perform model training and retraining directly within on-site equipment environments rather than relying on a separate training application.

Flexible MLOps Integration

Feed production data back into the training process to maintain model performance as products, processes, and inspection conditions change.

Features

API / CLI Execution Modes

Select API or CLI operation based on how the training engine needs to be integrated into the target software, equipment, or production environment.

Neurocle Neuro-T Engine API and CLI execution modes

Single / Multi-GPU Configuration

Allocate GPU resources according to the characteristics of the training task and the computing resources available within the on-site system.

Neurocle Neuro-T Engine single and multi-GPU configuration

11 Deep Learning Models

Configure and use 11 different deep learning models according to the inspection project and integrate them into the finished system.

Neurocle Neuro-T Engine 11 deep learning models

Integration Scenarios

Custom Training Software

Build dedicated training software around your own UI, workflow, and brand identity while Neuro-T Engine provides the training functionality.

Model Evaluation Tools

Create dedicated viewers or studios for model performance analysis and comparison using training and evaluation data.

Centralized Production Control

Gather training data from multiple production lines and manage model operations through a centralized monitoring environment.

On-Site MLOps

Continuously feed equipment data into the training process to update inspection models as manufacturing conditions evolve.

Built for Embedded AI Training

Existing System Integration

Add deep learning training functionality to existing equipment or software without replacing the surrounding application architecture.

Custom User Experience

Maintain your own interface, workflow, and branding instead of adapting operators to a fixed training application.

Production Retraining

Train and retrain models within the production environment using data generated by the inspection process.

Typical On-Site MLOps Flow

Production Data

Equipment collects new inspection images

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Data Selection

Relevant samples are prepared for training

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Training

Neuro-T Engine trains or retrains the model

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Evaluation

Model performance is reviewed

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Production Update

Updated model returns to the inspection system

Applications

On-Site Retraining

Custom Training Software

Equipment Integration

Production MLOps

Model Evaluation

Centralized Production Control

Multi-Line Manufacturing

Continuous Model Updates