Deep learning software ViMo Deeplearning

programmingpost-processingdata analysis

Product Overview
ViMo Deeplearning is a desktop industrial vision deep learning training software developed by SmartMore. It provides offline model training and local data processing to support manufacturing use cases such as material classification, defect detection, object localization and OCR. The application is designed for users without programming skills and complements ViMo Cloud for hybrid edge-cloud workflows.

Product Features

• Smart annotation: AI-assisted annotation, non-learning region masking and label soft/hard merging. One-click AI annotation can improve average annotation efficiency by over 70% while maintaining accuracy.
• Model SDK export: One-click export and deployment for real-time inference across multiple development languages and system environments. Supports vision controllers, smart cameras and industrial PCs. Uses model distillation and pruning to produce compact, efficient models.
• In-depth data analysis: Visualized inference metrics and interactive post-processing with charts for false positives, false negatives and defect statistics. Real-time parameter adjustment to balance metrics.
• On-site data processing & privacy: Edge computing enables local model construction and inference without copying data off-site, protecting production privacy and sensitive information.
• Edge + Cloud integration: Desktop offline training complements ViMo Cloud to ensure compatibility of data, models and solutions; projects can be integrated into hybrid workflows.

Application Cases

• Precision grinding surface defect detection for steering joints at a major automotive parts manufacturer — delivered a solution achieving over 95% accuracy and significant cost savings.
• USB defect detection for a consumer electronics manufacturer — three-class classification of scratches and contamination using high-precision deep learning.
• OCR for smartwatches — robust character recognition on metal components with varied fonts and difficult imaging conditions; achieved up to 99.9% accuracy in real projects.

Technical Specifications

• Type: Desktop industrial vision deep learning training software
• Main capabilities: Smart annotation, automatic algorithm training, model tuning, SDK inference
• No programming required: Designed for users without programming skills
• Offline model training: Local/offline training to complement cloud services
• Deployment: Supports multiple development languages and system environments; suitable for edge devices (vision controllers, smart cameras, industrial PCs)
• Model optimization: Supports model distillation and pruning for compact models
• Data analysis: Visualized inference metrics, interactive post-processing, real-time parameter tuning
• Privacy: On-site/edge processing to avoid off-site data copying
• Primary use cases: Material classification, defect detection, object localization, character recognition (OCR)