NEW

Discover the newest innovation of
Neurocle software

v5.0

Various utilization options for on-site MLOps implementation

MLOps architecture design suitable for any on-site environment.

Build field optimized retraining system with API/CLI training engine

v5.0

Various utilization options for on-site MLOps implementation

MLOps architecture design suitable for any on-site environment.

Build field optimized retraining system with API/CLI training engine

v5.0

Flexible task allocation in multi/single-GPU environment

Utilize GPU resources efficiently

Generate multiple models simultaneouslywith full GPU utilization.

v5.0

Flexible task allocation in multi/single-GPU environment

Utilize GPU resources efficiently

Generate multiple models simultaneouslywith full GPU utilization.

Auto Deep Learning Training Engine

High-performance Auto Deep Learning training module for flexible integration on various systems.

v4.5

Faster Auto-Labeling on GPU

Labeling speed up to 7.6 times faster than CPU

Automatically generate recommended label areas from a small set of labeled data with Auto Labeling. Now supporting GPU.

v4.5

Faster Auto-Labeling on GPU

Labeling speed up to 7.6 times faster than CPU

Automatically generate recommended label areas from a small set of labeled data with Auto Labeling. Now supporting GPU.

v4.5

Target multiple regions for more precise defect generation

Generate synthetic defects better resembling actual defect image.

Generate multiple synthetic defects with multiple target areas specified

v4.5

Target multiple regions for more precise defect generation

Generate synthetic defects better resembling actual defect image.

Generate multiple synthetic defects with multiple target areas specified

Auto Deep Learning Model Trainer

GUI-based training software for generating high-performance inspection models without deep learning expertise

v4.5

Enhanced model inference speed

Quickly view inspection results on the site

Faster Runtime Inference Speed through Data Pipeline Improvements

v4.5

Enhanced model inference speed

Quickly view inspection results on the site

Faster Runtime Inference Speed through Data Pipeline Improvements

v4.5

Inference time limit to prevent bottlenecks

Maximize productivity by resolving inspection bottlenecks

Prevent productivity loss and inspection bottlenecks caused by on-site inference delays by setting the maximum time allowed for inference

v4.5

Inference time limit to prevent bottlenecks

Maximize productivity by resolving inspection bottlenecks

Prevent productivity loss and inspection bottlenecks caused by on-site inference delays by setting the maximum time allowed for inference

Runtime Library for On-site Deployment

Runtime library for real-time, on-site deep learning insepction model operation

Runtime Library for On-site Deployment

Runtime Library for On-site Deployment