Perceptix provides an AI‑driven visual inspection platform that automates defect detection and measurement in real time using deep‑learning models on high‑resolution shop‑floor imagery. The solution delivers sub‑second results on edge devices or via cloud analytics, integrates with MES and data pipelines, and continuously improves accuracy through feedback, helping manufacturers and quality‑control teams increase yield and reduce rework.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers and quality‑control teams often rely on manual visual inspections that are time‑consuming, prone to human error, and difficult to scale across high‑volume production lines.
Solution
Perceptix offers an AI‑driven inspection platform that automates visual defect detection and measurement in real time. By applying deep‑learning models to high‑resolution imagery captured on the shop floor, the system identifies anomalies, classifies defect types, and generates actionable reports without requiring extensive operator training. The platform can be deployed on edge devices for low‑latency processing or in the cloud for centralized analytics, enabling continuous monitoring and rapid feedback loops that improve yield and reduce rework. Integration points allow seamless connection to existing manufacturing execution systems (MES) and data pipelines, facilitating automated decision‑making and traceability.
Target Audience
Primary customers are manufacturers, assembly‑line operators, and quality‑assurance teams seeking to automate visual inspection and improve defect detection at scale.
Features
- Deep‑learning visual inspection models optimized for defect detection across diverse material types
- Real‑time edge processing to deliver sub‑second inspection results directly on the production line
- Cloud‑based analytics dashboard with customizable alerts, trend analysis, and exportable reports
- API and MES connectors for automated workflow integration and data synchronization
- Continuous model training pipeline that incorporates user feedback to improve accuracy over time
- Scalable architecture supporting multi‑camera setups and high‑throughput environments