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Demo unit available for loan: High-precision, compact ToF sensor I200D SE.

Demo units available for loan! Achieving high-precision detection in the smallest class! Compact ToF sensor.

Are you experiencing challenges with insufficient installation space or sensor accuracy? The I200D is a compact, high-performance Time-of-Flight (ToF) sensor that can be embedded. It achieves miniaturization through unique technology while providing high precision and stable measurement performance. It is ideal for installation in limited spaces, such as unmanned transport vehicles (AGVs) and picking robots. Additionally, it supports a wide range of applications, including facial recognition, people counting, understanding foot traffic in stores, and intruder detection. With low power consumption and excellent maintainability, it strongly supports operational efficiency. For more details, please download from the related catalog. We also offer demo units for loan, so feel free to contact us.

basic information

- Measurement method: ToF (Time-of-Flight) method - Maximum measurement distance: 5m - Field of view (FOV): Horizontal 70° / Vertical 55° - Resolution: 320×240 pixels - Frame rate: Up to 30fps - Size: 35mm×35mm×21.5mm (one of the smallest in the industry) - Operating temperature: -10℃ to 50℃ - Power supply voltage: DC 5V - Interface: USB 2.0 - Power consumption: 2W or less - Supported OS: Windows / Linux - Weight: Approximately 20g

Price information

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Delivery Time

Model number/Brand name

I200D / CUBE EYE

Applications/Examples of results

- Adopted as an obstacle detection sensor for AGVs (Automated Guided Vehicles) - Proven track record of installation on picking robots in warehouses and logistics centers - Implemented in crowd flow analysis and people counting systems in commercial facilities - Achievements in security gates and access control systems using facial recognition - Used in intrusion detection and abnormal behavior monitoring systems linked with surveillance cameras - Utilized as a sales promotion tool for understanding dwell time in front of vending machines

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