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Inertial Sensors Product List

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High-precision 6-axis industrial IMU inertial sensor "LPMS-IG1P" series

Core of autonomous driving and construction machinery control. Equipped with IP67 waterproofing and high-performance Kalman filter. Dramatically improves system integration with ROS/ROS2 compatibility.

【Core of Autonomous Driving and Construction Machinery Control: High Reliability Industrial IMU】 The LPMS-IG1P series is a high-performance 6-axis inertial measurement unit (IMU) that supports advanced control for autonomous vehicles, construction machinery, and robots. - Easy system integration with a variety of interfaces It features major industrial standards such as CAN, RS232, USB, and RS485, allowing for direct integration with existing vehicle networks and PLCs. - Unique algorithms strong against harsh vibration and magnetic environments Equipped with a high-performance Kalman filter "Core Fusion Engine," it real-time corrects severe vibrations and magnetic interference in construction machinery, outputting accurate attitude angles (roll, pitch, yaw) while suppressing drift. This dramatically improves the accuracy of dead reckoning. - Excellent environmental resistance and development support (compatible with ROS/ROS2) It uses an IP67 waterproof and dustproof aluminum housing, supporting a wide operating temperature range from -40°C to +80°C, ensuring long-term operation outdoors. In addition to Linux compatibility, it officially supports ROS/ROS2 drivers, significantly reducing the development workload for autonomous driving.

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High-precision 9-axis inertial measurement unit (IMU) LPMS-IG1/IG1P

For industrial environments requiring high-precision and low-latency measurements! MEMS 9-axis IMU equipped with sensor fusion capabilities.

The "LPMS-IG1" is an IMU sensor that detects direction and acceleration, measuring with high precision. The "LPMS-IG1P" is a product that adds GPS measurement functionality for automotive applications to the LPMS-IG1. The case is waterproof (IP67), and with a powerful CPU, it processes data from the gyroscope, accelerometer, and magnetometer, calculating results in real-time with low drift and high precision. It is suitable for industrial environments where high precision and low latency measurements are required. 【Features】 ■ Waterproof design (IP67) ■ MEMS 9-axis IMU with sensor fusion capabilities ■ Equipped with a low noise/low drift (4℃/1h) accelerometer ■ Real-time calculation of posture/linear acceleration within the sensor *For more details, please refer to the PDF document or feel free to contact us.

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High-precision 6-axis wireless IMU inertial sensor "LPMS-IG1W"

Waterproof and dustproof with IP67 rating. Wireless industrial-grade measurement. Accurate posture output using advanced Kalman filtering.

"Achieving high-precision measurement in harsh environments, industrial wireless IMU" The LPMS-IG1W is a high-performance 6-axis inertial measurement unit (IMU) compatible with Bluetooth connections. In addition to measuring 3 axes each of acceleration and gyroscope, it outputs precise attitude angles even in dynamic environments through advanced algorithms. - High robustness that is not limited by the environment (IP67 standard) It features a fully waterproof and dustproof aluminum housing. This allows for measurements in harsh locations such as outdoor construction sites, dust-heavy factories, vessels exposed to splashes, agricultural machinery, and rotating bodies. - High-precision measurement with proprietary algorithms Equipped with the Kalman filter "Core Fusion Engine" based on years of research. It corrects for severe vibrations and magnetic interference in real-time, outputting stable attitude angles with minimized drift at up to 400Hz. - Maximizing development efficiency with complete wireless operation (ROS/ROS2 compatible) It operates completely cable-free with an internal battery and Bluetooth. Ideal for large machinery where wiring is difficult and for human body measurements. In addition to Linux compatibility, it officially supports ROS/ROS2 drivers, facilitating smooth integration into autonomous driving systems.

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