Synthomatic AI provides AI-driven manufacturing solutions that leverage proprietary deep learning algorithms and open-source technologies to optimize production processes. The platform enhances factory output, reduces manufacturing scrap, and improves resource utilization, leading to measurable increases in operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Many manufacturing processes rely on manual visual inspection for quality control, which is costly, inconsistent, and prone to human error. Traditional vision systems often fail to detect subtle defects or adapt to changing manufacturing conditions, leading to inefficiencies and potential scrap.
Solution
Synthomatic AI provides an automated quality control system that uses advanced neural networks to identify manufacturing defects with high accuracy. The system combines visual inspection hardware with AI algorithms designed for manufacturing environments. By leveraging both supervised and unsupervised learning approaches, the solution detects defects that traditional vision systems cannot match. The system integrates with factory PLCs and existing manufacturing lines, providing a cost-effective way to improve quality and consistency in defect detection.
Target Audience
The primary target audience includes manufacturing facilities across various industries seeking to reduce costs associated with manual inspection, improve the quality and consistency of defect detection, and enhance overall operational efficiency.
Features
- Advanced neural networks trained to identify defects with high accuracy
- Human-assisted and autonomous learning approaches for precise defect identification
- Continuous learning system that improves over time as it processes more examples
- Seamless integration with factory PLCs and existing manufacturing lines
- Designed for Windows-based PCs to guarantee robust performance and expandability
- Detects defects such as poor welding coverage, molding warpage, soldering cold joints, and assembly misalignment
- Compact system with a field of view of 12" x 9" and an object resolution of 0.0015" (40μm)