Visual Inspection
Unlock flawless quality with AI-powered precision. Instantly detect defects and anomalies, automate quality control, and scale your production easily with the power of cloud-edge.
Smarter inspection. Zero compromises.
- Detect defects, anomalies, and inconsistencies in real time
AI-powered Visual Inspection leverages computer vision and machine learning to ensure flawless quality and maximum efficiency. - Boost production without trade-offs
Automated inspections speed up workflows while maintaining accuracy. - Minimise waste & downtime
Predictive alerts prevent bottlenecks and costly rework. - Scale effortlessly across production sites
The cloud-edge-powered platform enables standardised, flexible deployment.
Think ahead. Operate smarter.
Scale easily with the cloud-edge-powered platform
Detect defects in real time, deploy across multiple sites, and manage everything centrally in the cloud. See what is possible when AI meets real-world production and turn intelligence into impact - benefit from:
- Real-time processing
Ensure fast, cycle-time-compliant inspections with edge-based AI-powered defect detection. - Scalability and efficiency
Keep quality consistent across multiple sites with cloud-based model updates. - Autonomous operations
Give operators real-time insights and control for smarter and faster decisions. - Predictive maintenance
Combine inspection data with machine data to prevent downtime and optimise production.
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AI-automated visual quality inspection
Case studies
Fehrer enhances manufacturing with AI-powered visual inspection
AI is driving the next phase of the digital revolution, transforming how work gets done. As part of its innovation strategy, Fehrer partnered with GFT to develop a proof-of-concept solution. The results confirmed that AI-powered visual inspection improves quality control, reduces costs, and leverages data to optimise manufacturing processes.
Hot-end bottle inspection
A leading glass manufacturer improved hot-end quality control with AI-powered visual inspection. Within milliseconds, the system detects bottle defects in real time, ensuring only flawless products proceed. This automation reduces waste, eliminates manual errors, and increases efficiency, transforming quality control into a seamless, high-speed process.
Package labelling inspection
A food manufacturer implemented AI-driven label verification to ensure packaging accuracy. The system reads label contents and compares them to expected values in real time, detecting errors instantly. This automation prevents mislabeling, reduces recalls, and ensures compliance with industry regulations.
Weld seam inspection
An automotive supplier implemented AI-driven weld seam measurement to analyse results in real time. The system reduces inspection time from minutes to seconds, ensuring precise seam quality while increasing production speed and efficiency.
Cake filling inspection
A food manufacturer implemented AI-driven thermal imaging to predict the amount of cream inside cakes. This real-time analysis ensures consistent filling levels, reduces waste, and improves product quality without disrupting production.
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Sergio Redondo Cabanillas
