How IDS NXT is Driving the Next Era of Embedded Intelligence

AI-powered industrial camera

In 2020, the IDS NXT framework consisting of cloud-based model training and cameras that run inferences, redefined what was possible with AI in machine vision. The concept was simple but powerful: make deep learning usable for everyone, without specialist programming skills. At the time, this was a breakthrough - bringing AI inference directly onto the camera itself.

Five years on, both AI and embedded vision technology have accelerated dramatically. Faster processing, more powerful neural networks, improved training workflows, and versatile application possibilities have contributed to enhance IDS NXT as a reliable, robust, ready-to-deploy solution for industries ranging from manufacturing to agriculture. The promise made in 2020 - AI for all - has moved from early adoption into mainstream industrial automation.

The Evolution of the AI-powered industrial camera

In the years since the first IDS NXT Ocean system was launched, several industry-wide advancements have reshaped the AI vision landscape:

Hardware acceleration: Dedicated NPUs (neural processing units) now enable faster and more efficient AI inference on-device, removing reliance on external PCs.

Streamlined training: Cloud-based platforms like IDS NXT Lighthouse have evolved to make dataset preparation, network training, and deployment even more intuitive, with guided workflows and preconfigured architectures.

Rugged and application-specific camera models: IDS has expanded the range with camera variants like the IP69K-rated IDS NXT Oslo for extreme environments, and the Malibu for live video AI overlays.

Expanded AI functions: From object classification to anomaly detection, the systems now tackle more complex, variable tasks - often in real time.

The result is a technology shift where AI enabled smart cameras are no longer specialist tools; they are accessible, adaptable, and central to modern process automation.

IDS NXT System Overview

At the core of IDS NXT is a tightly integrated hardware-software ecosystem:

AI Cameras: Models like Rio, Rome, Malibu, and Oslo combine high-quality industrial imaging with on-board AI processing.

IDS NXT Lighthouse: A cloud-based AI vision studio guiding users from image capture through to trained neural network deployment - without needing coding or deep AI expertise.

Flexible Connectivity: REST and OPC UA interfaces enable direct integration with machines, PLCs, and production systems.

App-based Extensibility: Users can install vision apps to expand functionality, from simple pass/fail checks to multi-step inspection workflows.

Because processing happens on the camera itself, IDS NXT eliminates bandwidth bottlenecks, reduces infrastructure costs, and allows for real-time decision-making directly at the edge.

Source: Unsplash

Real-World Applications

IDS NXT cameras are already deployed in industries that need speed, flexibility, and accuracy:

• Object Counting: Detect and count components on conveyors or in bulk material, even when shapes vary.
• Presence/Absence Checks: Verify correct assembly or packaging instantly.
• Quality Control: Grade agricultural produce, inspect surfaces, or ensure correct labelling in manufacturing.
• Anomaly Detection: Identify subtle defects invisible to the human eye, preventing costly downstream faults.
• Classification: Categorise components, assemblies, or biological samples into multiple classes for automated handling.

These applications demonstrate the adaptability of IDS NXT across sectors, with the flexibility to train and redeploy for new tasks as production needs change.

Why This Matters for Industry

The combination of edge AI processing, low barrier to entry, and industrial-grade design means IDS NXT is not just a camera - it’s an enabler of smarter, more autonomous processes.

Key advantages include:

• Rapid deployment: Move from idea to application in days, not months.
• Reduced infrastructure: No high-spec PC required for AI inference.
• Scalability: Add more AI cameras without overloading networks or control systems.
• Future-proofing: FPGA and NPU architectures allow for updates and new AI functions without replacing hardware.

Conclusion

When IDS launched the first IDS NXT ocean system in 2020, it signaled a major step forward in making AI accessible for machine vision. Today, the expanded IDS NXT ecosystem builds on that foundation with faster hardware, smarter training tools, ruggedised models, and a wider range of applications - delivering AI vision that’s ready for any industry.

The future of machine vision lies in making intelligence available where the action happens - and IDS NXT is already there.

Please contact us to discover how IDS NXT can transform your inspection, quality control, and automation workflows.