IDS NXT rio Experience Kit – 6-Month License

IDS NXT rio Experience Kit – 6-Month License 

Model Variant: IDS NXT rio Experience Kit
Sensor: Sony IMX273LQR-C | Resolution: 1.58 MP (1456 x 1088) | Shutter: Global | Interface: GigE RJ45 (PoE)

🔧 Product Overview

The IDS NXT rio Experience Kit offers a turnkey solution for developers and vision system integrators looking to harness the power of on-camera AI with minimal setup time. Equipped with the robust Sony IMX273 CMOS sensor and powered by a 6-month IDS NXT lighthouse license, this kit is engineered for embedded vision AI development—from edge inference to real-time imaging tasks.

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⭐ Key Features & Advantages

• AI-Based Vision with Edge Processing: Seamless integration of CNN inference directly on the camera using the IDS NXT platform.

• High-Performance Sensor: Sony IMX273 global shutter sensor ensures precise image capture without motion blur.

• Real-Time Imaging: Up to 41 fps in trigger mode and 34 fps in freerun for fast-paced environments.

• Smart Preprocessing: Features include gamma correction, LUT, image mirroring, white balance, color correction, and pixel binning.

• Flexible Triggering: Supports software and hardware triggers with extensive I/O interface (12-pin M12) for industrial integration.

• PoE-Ready: Simplified setup using Power over Ethernet.

• Compact & Rugged: IP30 aluminum housing, dimensions 34 x 44 x 73 mm, designed for factory environments.

📐 Technical Specifications

• Resolution: 1.58 MP (1456 x 1088), 3.45 µm pixel size

• Image Memory: 128 MB

• Power Supply: 12–24V DC or PoE

• Operating Temperature: 0°C to 55°C

• Mount: C-Mount

• IP Rating: IP30

• Interface: GigE RJ45 + I/O (12-pin M12)

🔗 Download Technical Resources

• 📝 Product Datasheet

• 📘 CNN Specification Manual

• 🔧 Hardware Manual

• 📐 Technical Drawings

💡 Application Use Cases

1. Smart Quality Inspection
   Leverage AI classification to detect defects or anomalies in production lines without needing a host PC, perfect for electronics, automotive, or packaging industries.

2. Traffic Monitoring Systems
   Real-time object detection and classification (vehicles, pedestrians, license plates) directly on edge devices, enabling smart city infrastructure and reducing network load.

3. Agricultural Automation
   Deploy AI-powered cameras in greenhouses or fields for tasks like crop health analysis, pest detection, and sorting—optimized by local decision-making at the edge.

📞 Contact & Technical Support

For integration assistance, bulk quotations, or project-specific consultation:
🔗 Contact Our Engineering Team