Manufacturers today face immense pressure to increase output, ensure quality, and meet  compliance standards while optimizing costs. Traditional quality assurance systems are  reactive, prone to human error, and difficult to scale across global operations. CountAi  addresses this gap with real-time, AI-powered computer vision systems deployed at the  edge. Built for rugged industrial environments and engineered for scale, CountAi  transforms defect detection, process visibility, and operator performance into competitive  advantages. 

The Industrial Challenge 

1. Manual Quality Control: Labor-intensive, inconsistent, and slow to adapt to high throughput environments. 
2. Latency in Detection: Cloud-based vision systems often suffer from lag, delaying defect  identification and action. 
3. Lack of Scalable Intelligence: Most vision systems cannot adapt or scale across  production lines, geographies, or verticals. 
4. Data Privacy Concerns: GDPR and other global compliance frameworks make cloud  transmission of video data risky. 

CountAi: Precision AI at the Edge 

CountAi delivers a fully integrated solution comprising AI algorithms, edge hardware, and  industry-specific computer vision pipelines. Our platform supports millions of frames per  day and autonomously detects over 25 types of fabric and yarn defects in real time. 

Key Capabilities 

• Edge-First Architecture: Ultra-low latency and zero dependence on internet  bandwidth. 
• Autonomous Defect Detection: Eliminates need for human oversight in defect  identification.
• Privacy-First Design: GDPR-compliant, anonymized, non-invasive vision tracking. 
• Self-Learning Feedback Loops: Continuous improvement based on operator  feedback and environmental learning. 
• Industrial-Grade Engineering: Rugged hardware retrofit-ready for harsh plant  environments. 

Proven Results 

• 100+ defective rolls avoided in 3 months at a Turkey textile plant. 
• • **18% output increase