No-Code Workflow
Label data, train, and deploy models without code. Adaptive settings reduce manual tuning.
InsWorksESAI
Deep Learning Platform
InsWorks ESAI helps teams label data, train and refine models, and deploy AI inspection. Use classification, detection, segmentation, and cascaded models in one visual workflow.
InsWorks ESAISoftware Features
Multiple AI Tasks
Choose from eight vision tasks and cascade models for more complex applications.
Sample Analysis
Filter samples, review false positives and misses, and analyze confusion matrices across datasets.
Production Deployment
Deploy through C++ or C# on CPUs and GPUs, with low-latency inference for production.
From Data to Deployment
Take an industrial AI model from data import to production deployment.Import image
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Tools That Speed Up AI Development
AI-Assisted Labeling
Label with positive or negative points, boxes, or AI predictions, then review quickly by hand.
Defect Generation
Generate varied defect samples when real examples are scarce, improving model training and generalization.
Error Analysis
Find false positives, missed defects, and outliers to improve model reliability.
Cross-platform deployment
WindowsNVIDIA Orin
Deploy models on Windows, NVIDIA GPUs, and edge devices through C++ or C#, including integration with VDE.
Ultra-Fast Inference
- Deploy AI models without code for pixel-level defect detection.
- Optimized inference balances speed and inspection accuracy.
APPLICATION CASES
ESAI Application Cases
Explore complete inspection solutions and project images.
Photovoltaics
Solar Panel Defect Inspection
Detects scratches, damage, contamination, edge chips, and hidden cracks in solar panels.
Integrated Circuits
AI PCB Defect Inspection
Uses deep learning to detect complex PCB manufacturing defects consistently.
Lithium-ion Batteries
Battery Pack Appearance Inspection
Uses AI to detect a range of appearance defects in battery packs.
Automotive Manufacturing
Automotive Part Surface Inspection
Good-part learning detects surface defects on metal and automotive parts with fewer defect samples.
Food & Pharmaceuticals
Blister Pack Tablet Inspection
Detects missing tablets and packaging errors in blister packs.
Logistics
Pallet and Load Inspection
Identifies pallet and load status to support sorting, handling, and monitoring.
3C Electronics
Six-Sided Smartphone Motor Inspection
AI inspects all six sides of smartphone motors for scratches, dents, stains, and missing adhesive.
semiconductor
AI Wafer Defect Classification
AI classifies wafer defects, including edge chips, scratches, particles, and pattern anomalies, for front-end visual inspection.