What Is Neo? Automating Visual Quality Inspections
Neo is an AI-powered vision software designed to automate complex visual quality inspections with ease. Developed by the Trinity Hardware consulting unit, it simplifies deep learning-based quality control, making it accessible and effective. Whether it’s spotting defects in metal, plastic, or any other material, Neo learns from samples just like a human inspector would. It’s built to handle every item, every defect, ensuring nothing slips through the cracks.
Main Benefits of Neo’s Visual Quality Control
Neo stands out by combining power and simplicity in a way that truly transforms quality control. Here are some key figures and facts that highlight its impact:
- Performs over 35 inspections per second, keeping pace with even the fastest production lines.
- Runs on compact edge devices, offering unmatched speed and scalability.
- Uses machine learning to continuously improve defect detection accuracy.
- Requires only a few good and bad examples to learn complex inspection standards.
- Supports both edge and cloud platforms—NeoEdge and NeoCloud—for flexible deployment.
- Compatible with any Linux-based edge device, making integration straightforward.
How Neo Simplifies Complex Inspections
Setting up a vision system can sound intimidating, but Neo flips that script. It’s designed to be simple—really simple. Just provide a few samples, and Neo starts learning. Even when quality isn’t black and white, it adapts quickly to your unique standards. No more wrestling with complicated setups or endless calibration. Neo makes complex inspections feel effortless, like second nature.
Edge or Cloud? Flexibility at Its Best
Neo offers two platforms to suit different needs: NeoEdge and NeoCloud. This dual approach means precision-focused tasks, like data labeling, can be offloaded to the cloud, ensuring seamless access to all features and information. Meanwhile, the edge platform handles real-time inspections right on the production floor. This flexibility means businesses can choose what works best for their operations without compromise.
Installation and Workflow Made Easy
The process is straightforward and customer-friendly. It starts with shipping samples or hosting a workshop at the client’s facility. Then comes a free feasibility evaluation and tailored hardware design in the lab. After that, production installation, data collection, and model fine-tuning take place. Finally, defect categorization and ongoing model improvements keep the system sharp—all as easy as clicking a button.
Project Impact: Linking Neo to Sustainable Development Goals
- SDG 9: Industry, Innovation, and Infrastructure – Enhances manufacturing processes through advanced AI technology.
- SDG 8: Decent Work and Economic Growth – Supports efficient production lines, boosting productivity and job quality.
- SDG 12: Responsible Consumption and Production – Reduces waste by catching defects early and improving product quality.
- SDG 4: Quality Education – Promotes AI literacy and adoption in industrial settings.
- SDG 17: Partnerships for the Goals – Collaborates with NVIDIA Inception Program to drive AI innovation.
Neo’s Role in the Future of Factory Quality Control
From the bustling floors of SPS Parma to the cutting-edge factories of tomorrow, Neo is redefining how quality control happens. By inspecting materials like aluminum plates with unprecedented precision and speed, it ensures products stay flawless. This isn’t just about technology—it’s about transforming manufacturing into a smarter, more reliable process. With Neo, the future of quality control is here, and it’s simpler, faster, and more powerful than ever before.
