Key Points    **Product**: Micro-Magic Inc’s MEMS IMU U5000, a tactical-grade, high precision, 9-axis IMU for drones.**Features**:  44.8×38.6×21.5mm size, 60g weight.  9-axis with a three-axis magnetometer.  Gyroscope: ±400º/s dynamic range, 0.5º/h bias instability, 0.08º/√h angular random walk.  Accelerometer: ±30g dynamic range, 0.01mg bias stability.  Power: 1.5W, energy-efficient for drones.**Advantages**: Suitable for drones, lightweight, cost-effective, mass-producible.**Magnetometer**: Helps with heading/yaw correction.   As one of the core components of drones, IMU plays an irreplaceable role. Its high precision, fast response and freedom from external interference enable drones to maintain stable and precise flight and accurate navigation and positioning in complex environments, and can also perform fault diagnosis for drones. Micro-Magic Inc’s MEMS IMU can achieve high performance while being small in size and light in weight, making it very suitable for drones.We have a tactical-grade IMU U5000 which is low-cost and has an advantage in price. It is a 9-axis IMU with an added three-axis magnetometer. It is only 44.8×38.6×21.5mm in size and weighs 60g. Compared with other IMUs, it is more suitable for drones. The built-in accelerometer of the IMU cannot be used to detect absolute heading (yaw). The magnetometer in this IMU measures the magnetic field strength in three dimensions, which can help determine the heading of the object as well as roll and pitch, and correct the integrated error of the yaw gyroscope in the sensor fusion algorithm.The dynamic measurement range of the built-in gyroscope is ±400º/s, the bias instability is 0.5 º/h, and the angular random walk is 0.08º/√h. The dynamic measurement range of the accelerometer is ±30g, the bias stability is 0.01mg (Allen variance).Considering the flight time requirements of drones, this IMU has a power of only 2W, which can extend the flight time of drones.This IMU has a short production cycle and can be mass-produced, which is particularly suitable for users with large demands and limited budgets.If you are interested in this and want to know more, please follow me and send me a message, I will reply immediately. I will update the relevant content later. U5000 Industrial Grade Temperature Compsensated Full Calibrated Strapdown 6Dof With Kalman Filter Algorithm U7000 Rs232/485 Gyroscope Imu For Radar/infrared antenna stabilization platform UF100A Middle Precision And Small Size IMU Fiber Optic Inertial Group    

Key Points Product: Micro-Magic Inc’s MEMS IMU U5000, a tactical-grade, low-cost, 9-axis IMU for drones. Features: Size: 44.8×38.6×21.5mm, Weight: ≤60g 9-axis with three-axis magnetometer and barometer Gyroscope: ±400º/s dynamic range, bias instability <0.5º/h, angular velocity random walk <0.08º/√h Accelerometer: ±30g dynamic range, bias repeatability 0.01mg Power: 2W, energy-efficient for extended flight Advantages: Ideal for drones, lightweight, cost-effective, and customizable for OEM, enhancing stability and performance with magnetometer aiding in heading correction. The key to achieving autonomous navigation, stable control and precise flight of drones is closely related to IMU, which is one of the core technologies of drone systems. At present, there are also research teams that have developed IMU-centric data-driven diagnostic methods to perform fault diagnosis on drones without the need for additional sensors. Choosing the right IMU can make flight more stable and safer.Micro-Magic Incs MEMS IMU U5000 and U7000 (can be customized for OEM) can be used in drones. Using MEMS technology, they are small in size, superior in performance, light in weight, low in power consumption, and cost-effective, and are very popular among users.Drones have strict requirements on the size and weight of IMUs. The U5000 has a size of (44.8×38.6×21.5mm(with shell)) and a weight of ≤60g (with shell). Flight control of drones is one of their most basic functions. MEMS IMU helps drones maintain a stable attitude by providing real-time acceleration and angular velocity data. The gyroscope measurement range of U5000 and U7000 is ±400deg/s, bias instability <0.5deg/hr, angular velocity random walk <0.08°/√h, accelerometer bias repeatability 0.01mg. At the same time, it has the characteristics of low power consumption, which prolongs the flight time of drones.It can also combine data from other sensors (such as GPS, magnetometer, etc.) to calculate the precise location and attitude information of the drone for navigation and positioning. When the drone is taking aerial photos, it can maintain extremely high stability to ensure the clarity and stability of the images and videos taken. At the same time, it can also be used as part of the drone’s fault safety system to detect abnormal movements or attitude changes and trigger automatic recovery procedures or emergency landing procedures to protect the safety of the drone and the surrounding environment.In the design and application of drones, high-performance IMUs are able to provide stable and accurate data under various environmental conditions, such as temperature changes, vibrations, and rapid movements, and perform precise tasks such as aerial photography, logistics transportation, and agricultural monitoring.MEMS IMU has many applications in the field of drones. They not only improve the performance and stability of drones, but also expand the scope of application of drones. If you are interested in this and want to know more, please follow me and send me a message. I will reply immediately. I will update the relevant content later. U5000 Industrial Grade Temperature Compsensated Full Calibrated Strapdown 6Dof With Kalman Filter Algorithm   U7000 Rs232/485 Gyroscope Imu For Radar/infrared antenna stabilization platform

Key Points Product: Micro-Magic Inc’s MEMS IMU UF300A (Navigation-grade) vs UF100A (Tactical-grade). Navigation-grade UF300A Features: Size: Compact for various applications Gyroscope: Bias repeatability <0.05°/hr, bandwidth 100Hz Accelerometer: High precision for navigation tasks Power: Efficient for long-duration use Tactical-grade UF100A Features: Size: Similar compact design Gyroscope: Bias repeatability <0.2°/hr, bandwidth 300Hz Accelerometer: Robust for tactical missions Power: Optimized for demanding environments Advantages: UF300A excels in precision for navigation; UF100A is tailored for high-precision applications like drone navigation and stabilization, offering flexibility and reliability in critical tasks. Introduce Navigation-grade IMU and Tactical-grade IMU are different levels of inertial measurement units (IMU). They have significant differences in accuracy, performance and application scenarios. Navigation-level and tactical-level IMU will be introduced below. Navigation grade MEMS IMU First of all, navigation-grade IMU is mainly used for general navigation and positioning tasks, and its performance requirements are relatively low. It usually has high accuracy and reliability and can meet the needs of most navigation applications. Through internal sensors such as accelerometers and gyroscopes, the navigation-grade IMU can accurately measure key information such as the acceleration, angular velocity, and direction of objects. After processing, this information can be used to achieve precise positioning and navigation functions, thereby improving driving safety and stability. Tactical Grade MEMS IMU Tactical-grade IMU have some unique core features. For example, they are able to operate gyroscopes with extremely low bias stability, meaning that bias errors become more stable over time. This stability is critical for high-precision applications such as drone navigation. And for higher-precision applications, such as drone navigation, antenna and weapon platform stabilization, tactical-grade IMU are required. Gyroscopes are known to operate with extremely low bias stability, meaning their bias errors remain relatively stable over time. This feature allows tactical-grade IMU to maintain excellent performance in long-term, high-precision applications. In addition, tactical-grade IMU are usually equipped with high-quality MEMS accelerometers and gyroscopes to provide more accurate data output.   It can be seen that navigation-grade IMU and tactical-grade IMU have different emphasis on accuracy, performance and application scenarios. When selecting an IMU, the most appropriate level needs to be determined based on specific application requirements. The following will briefly describe the differences between navigation-grade MEMS IMU and tactical-grade MEMS IMU, and introduce two IMU from the domestic inertial navigation company Micro-Magic Inc. Navigation grade MEMS IMU VS Tactical grade MEMS IMU There are significant differences in performance and application between navigation-grade IMU and tactical-grade IMU. First, navigation-grade IMU are usually used in some scenarios with relatively high accuracy requirements, and their performance and accuracy are higher than tactical-grade IMU. The performance and accuracy of tactical-grade IMUs are far inferior to those of navigation-grade IMU, so tactical-grade IMUs are the first choice for demanding applications such as drone navigation. These IMU operate gyroscopes with extremely low bias stability, which means that the bias error becomes more stable over time. This feature is essential for critical missions and high-precision applications such as drone navigation, antenna and weapon platform stabilization. Micro-Magic Inc is an inertial navigation company that independently develops MEMS IMU. The MEMS IMU it develops are mainly divided into navigation level and tactical level. The following are the company’s UF300A(navigation level) and UF100A (tactical level). Level) built-in MEMS gyroscope specification comparison:   UF100A UF300A Bias repeatability <0.2deg/hr <0.05deg/hr Range 300 300 Bias stability (10s 1σ) <0.2deg/hr <0.05deg/hr Bandwidth (-3dB) 300Hz 100Hz Threshold <0.1°/√h <0.005°/ √h It can be seen from the above table that the accuracy of the built-in gyroscope of the navigation-grade MEMS IMU is much higher than that of the tactical-grade one, especially the bias repeatability of the navigation-grade one is 0.05, and the tactical-grade one is 0.2. The accuracy is much higher. NF100A has a larger range than NF300A. Summarize Navigation-grade IMU and tactical-grade IMU are different in accuracy, stability and applicable scenarios. When selecting, the most appropriate IMU type needs to be determined based on specific application requirements. For more professional information, please consult our relevant personnel. UF100A Middle Precision And Small Size IMU Fiber Optic Inertial Group   UF300 High-precision Miniaturized Inertial Measurement Unit Fiber Optic Inertial Measurement Unit  

Key Points Product: Ground Positioning Method with IMU and Fixed Camera Key Features: Components: Inertial Measurement Unit (IMU) and fixed camera, securely mounted for stable positioning. Function: Combines high-precision attitude measurement from IMU with visual positioning from the camera for accurate ground positioning. Applications: Suitable for drones, robotics, and autonomous vehicles. Data Fusion: Integrates IMU data with camera imagery to determine precise geographical coordinates. Conclusion: This method enhances positioning accuracy and efficiency while simplifying calibration, with potential for broad applications in various technological fields. Introduce A ground positioning method in which an inertial measurement unit (IMU) and a camera are fixedly installed. It combines the high-precision attitude measurement of the IMU and the visual positioning capabilities of the camera to achieve efficient and accurate ground positioning. Here are the detailed steps of the method: First, install the IMU and the camera firmly to ensure that the relative position between them remains unchanged. This installation method eliminates the tedious steps of calibrating the installation relationship between the camera and the IMU in the traditional method, and simplifies the operation process. Next, the IMU is used to measure the acceleration and angular velocity of the carrier in the inertial reference frame. The IMU contains an acceleration sensor and a gyroscope, which can sense the motion status of the carrier in real time. The acceleration sensor is responsible for detecting the current acceleration rate, while the gyroscope detects changes in the direction, roll angle and tilt attitude of the carrier. These data provide key information for subsequent attitude calculation and positioning. Then, based on the data measured by the IMU, the attitude information of the carrier in the navigation coordinate system is calculated through integral operation and attitude solution algorithm. This includes the yaw angle, pitch angle, roll angle, etc. of the carrier. Due to the high update frequency of the IMU, the operating frequency can reach more than 100Hz, so it can provide high-precision attitude data in real time. At the same time, the camera captures ground feature points or landmark information and generates image data. These image data contain rich spatial information and can be used for fusion processing with IMU data. Next, the attitude information provided by the IMU is fused with the image data of the camera. By matching the feature points in the image with known points in the geographical coordinate system, combined with the attitude data of the IMU, the precise position of the camera in the geographical coordinate system can be calculated. Finally, the projection matrix is used to intersect the normal-line intersection to obtain the spatial position of the target. This method combines the attitude data of the IMU and the image data of the camera to achieve an accurate estimation of the target spatial position by calculating the projection matrix and intersection point. Through this method, high-precision and high-efficiency ground positioning can be achieved. The fixed installation of the IMU and the camera simplifies the operation process and reduces calibration errors. At the same time, the combination of the IMU’s high update frequency and the camera’s visual positioning capability improves positioning accuracy and real-time performance. This method has broad application prospects in fields such as drones, robots, and autonomous driving. It should be noted that although this method has many advantages, it may still be affected by some factors in practical applications, such as environmental noise, dynamic interference, etc. Therefore, in practical applications, parameter adjustment and optimization need to be carried out according to specific conditions to improve the stability and reliability of positioning. Summarize The above article describes the ground positioning method when the IMU and the camera are fixedly installed. It briefly describes the IMU’s high-precision attitude measurement and the camera’s visual positioning capabilities, and can achieve efficient and accurate ground positioning. The MEMS IMU independently developed by Micro-Magic Inc has relatively high accuracy, such as U3000 and U7000, which are more accurate and are navigation-grade products. It can accurately locate and orient. If you want to know more about IMU, please contact our professional technicians as soon as possible. U7000 Rs232/485 Gyroscope Imu For - Radar/infrared antenna stabilization platform   U3000 IMU MEMS Sensor IMU3000 Accuracy 1 Digital Output RS232 RS485 TTL Optional Modbus  

Key Points Product: GNSS-aided MEMS Inertial Navigation System (INS) Key Features: Components: Equipped with MEMS gyroscopes and accelerometers for accurate inertial measurements, with GNSS support for enhanced navigation. Function: Combines short-term INS precision with long-term GNSS stability, delivering continuous navigation data. Applications: Suited for tactical operations, drones, robotics, and industrial automation. Data Fusion: Merges INS data with GNSS corrections to reduce drift and improve positioning accuracy. Conclusion: Delivers high precision and reliability, ideal for navigation tasks across diverse industries. In the noise reduction process of IMU (Inertial Measurement Unit), wavelet denoising is an effective method. The basic principle of wavelet denoising is to use the multi-resolution time-frequency localization characteristics of wavelets to decompose the components of different frequencies in the signal into different subspaces, and then process the wavelet coefficients in these subspaces to remove noise. Specifically, the process of wavelet denoising can be divided into the following three steps: 1.Perform wavelet transformation on the noisy IMU signal and decompose it into different wavelet subspaces. 2.Threshold the coefficients in these wavelet subspaces, that is, coefficients below a certain threshold are regarded as noise and set to zero, while coefficients above the threshold are retained, and these coefficients usually contain useful signal information. 3.Perform inverse transformation on the processed wavelet coefficients to obtain the denoised signal. This method can effectively remove the noise in the IMU signal and improve the quality and accuracy of the signal. At the same time, because the wavelet transform has good time-frequency characteristics, it can better retain the useful information in the signal and avoid excessive information loss during the denoising process. Please note that the specific threshold selection and processing methods may vary according to specific signal characteristics and noise conditions, and therefore need to be adjusted and optimized according to specific circumstances in actual applications. The IMU data denoising method based on wavelet decomposition is an effective signal processing technology used to remove noise from IMU (Inertial Measurement Unit) data. IMU data often contains high-frequency noise and low-frequency drift, which can affect the accuracy and performance of the IMU. The noise reduction method based on wavelet decomposition can effectively separate and remove these noises and drifts, thereby improving the accuracy and reliability of IMU data. Wavelet decomposition is a multi-scale analysis technique that can decompose signals into wavelet components of different frequencies and scales. By wavelet decomposing the IMU data, high-frequency noise and low-frequency drift can be separated and processed differently. The IMU data denoising method based on wavelet decomposition usually includes the following steps: 1.Perform wavelet decomposition on the IMU data and decompose it into wavelet components of different frequencies and scales. 2.According to the characteristics of the wavelet components, select an appropriate threshold or wavelet coefficient processing method to suppress or remove high-frequency noise. 3.Model and compensate for low-frequency drift to reduce its impact on IMU data. 4.Reconstruct the processed wavelet components to obtain denoised IMU data.   The IMU data denoising method based on wavelet decomposition has the following advantages: 1.Able to effectively separate and remove high-frequency noise and low-frequency drift, improving the accuracy and reliability of IMU data. 2.Have good time-frequency analysis capabilities and be able to process the time and frequency information of signals at the same time. 3.Suitable for different types of IMU data and different application scenarios, with strong versatility and flexibility. Summarize In short, the IMU data denoising method based on wavelet decomposition is an effective signal processing technology that can improve the accuracy and reliability of IMU data and provide more accurate and reliable data for inertial navigation, attitude estimation, motion tracking and other fields. support. The IMU independently developed by Micro-Magic Inc uses some relatively rigorous denoising methods to better demonstrate to consumers higher-precision and low-cost MEMS IMUs, such as U5000 and U3500 as navigation series MEMS IMUs. Technicians conducted various experiments to denoise the IMU data to better meet consumers’ accurate measurement of the motion state of objects. If you want to know more about IMU, please contact our relevant personnel. U3500 IMU MEMS Sensor IMU3500 CAN Output   U5000 Whatever you needs, CARESTONE is at your side.  

Key Points Product: IMU for Pipeline Inspection Key Features: Components: Equipped with MEMS gyroscopes and accelerometers for measuring angular velocity and acceleration. Function: Monitors pipeline conditions by detecting bends, diameter variations, and cleanliness through precise measurements of motion and orientation. Applications: Used in pipeline inspection, including strain identification, diameter measurement, and cleaning processes. Data Processing: Collects and processes data for accurate assessment of pipeline health, curvature, and strain. Conclusion: Provides critical insights for pipeline maintenance, improving efficiency and reliability in inspection and maintenance operations. 1.IMU measurement principle IMU (Inertial Measurement Unit) is a device that can measure the angular velocity and acceleration of an object in three-dimensional space. Its core components usually include a three-axis gyroscope and a three-axis accelerometer. Gyroscopes are used to measure the angular velocity of an object about three orthogonal axes, while accelerometers are used to measure the acceleration of an object along three orthogonal axes. By integrating these measurements, the velocity, displacement and attitude information of the object can be obtained. 2.Pipe bending strain identification In pipeline inspection, IMU can be used to identify the bending strain of the pipeline. When an IMU is installed on a pig or other mobile device and moves within a pipeline, it can sense changes in acceleration and angular velocity caused by pipeline bending. By analyzing this data, the degree and location of pipe bends can be identified. 3.Diameter measurement and pipe cleaning process The diameter measuring and cleaning process is an important part of pipeline maintenance. In this process, a caliper pig equipped with an IMU is used to move along the pipeline, measure the inner diameter of the pipeline, and record the shape and size of the pipeline. This data can be used to assess the health of pipelines and predict possible maintenance needs. 4.Steel brush cleaning process The steel brush pigging process is used to remove dirt and sediment from the inner walls of pipelines. In this process, a pig with a steel brush and an IMU moves along the pipeline, cleaning the inner wall of the pipeline through brushing and scouring. The IMU can record the geometric information and cleanliness of the pipeline during this process. 5.IMU detection process The IMU inspection process is a key step in using IMU for data collection and measurement during pipeline maintenance. The IMU is installed on a pig or similar equipment and moves inside the pipeline while recording acceleration, angular velocity and other parameters. This data can be used to analyze the health of the pipeline, identify potential problems, and provide a basis for subsequent maintenance and management. 6.Data acquisition and post-processing After completing the IMU detection process, the collected data need to be collected and post-processed. Data acquisition involves transferring raw data from the IMU device to a computer or other data processing device. Post-processing involves cleaning, calibrating, analyzing and visualizing the data. Through post-processing, useful information can be extracted from the original data, such as the shape, size, bending degree, etc. of the pipe. 7.Speed and attitude measurement IMU can calculate the speed and attitude of an object by measuring acceleration and angular velocity. In pipeline inspection, measurement of speed and attitude is critical to assess the health of the pipeline and identify potential problems. By monitoring the speed and attitude changes of the pig in the pipeline, the shape, bending degree and possible obstacles of the pipeline can be inferred. 8.Pipe Curvature and Strain Assessment Using the data measured by the IMU, the curvature and strain of the pipeline can be evaluated. By analyzing acceleration and angular velocity data, the radius of curvature and bending angle of the pipe at different locations can be calculated. At the same time, combined with the material properties and loading conditions of the pipe, the strain level and stress distribution of the pipe at the bend can also be evaluated. This information is important for predicting the life of pipelines, assessing safety, and developing maintenance plans. Summarize To sum up, IMU plays an important role in pipeline inspection. By measuring parameters such as acceleration and angular velocity, comprehensive assessment and maintenance of pipeline health can be achieved. With the continuous advancement of technology and the expansion of application fields, the application of IMU in pipeline inspection will become more and more extensive. The MEMS IMU independently developed by Micro-Magic Inc has relatively high accuracy, such as U5000 and U7000, which are more accurate and are navigation-grade products. If you want to know more about IMU, please contact our professional technicians as soon as possible. U7000 Industrial Grade Temperature Compsensated Full Calibrated Strapdown 6Dof With Kalman Filter Algorithm   U5000 Rs232/485 Gyroscope Imu For Radar/infrared antenna stabilization platform  

Key Points Product: Pure Inertial Navigation System (INS) Based on IMU Key Features: Components: Uses MEMS accelerometers and gyroscopes for real-time measurement of acceleration and angular velocity. Function: Integrates initial position and attitude data with IMU measurements to calculate real-time position and attitude. Applications: Ideal for indoor navigation, aerospace, autonomous systems, and robotics. Challenges: Addresses sensor errors, cumulative drift, and dynamic environment impacts with calibration and filtering methods. Conclusion: Provides precise positioning in challenging environments, with robust performance when combined with auxiliary positioning systems like GPS.   Pure inertial data (IMU) position calculation is a common positioning technology. It calculates the target object in real time by using the acceleration and angular velocity information obtained by the Inertial Measurement Unit (IMU), combined with the initial position and attitude information. s position. This article will introduce the principles, application scenarios and some related technical challenges of pure inertial navigation data position calculation. 1. Principle of position calculation based on pure inertial navigation data Pure inertial navigation data position calculation is a positioning method based on the principle of inertial measurement. IMU is a sensor that integrates an accelerometer and a gyroscope. By measuring the acceleration and angular velocity of the target object in three directions, the position and attitude information of the target object can be derived. In pure inertial navigation data position calculation, it is first necessary to obtain the initial position and attitude information of the target object. This can be achieved by introducing other sensors (such as GPS, compass, etc.) or manual calibration. The initial position and attitude information play an important role in the solution process. They provide a starting point so that the acceleration and angular velocity data measured by the IMU can be converted into the actual displacement and attitude changes of the target object. Then, based on the acceleration and angular velocity data measured by the IMU, combined with the initial position and attitude information, numerical integration or filtering algorithms can be used to calculate the position of the target object in real time. The numerical integration method obtains the speed and displacement of the target object by discretizing and integrating the acceleration and angular velocity data. The filtering algorithm uses methods such as Kalman filtering or extended Kalman filtering to filter the data measured by the IMU to obtain the position and attitude estimation of the target object. 2. Application scenarios of pure inertial navigation data position calculation Position calculation based on pure inertial navigation data is widely used in many fields. Among them, indoor navigation is one of the typical application scenarios for pure inertial navigation data position calculation. In indoor environments, GPS signals are usually unable to reach, and pure inertial navigation data position calculation can use the data measured by IMU to achieve accurate positioning of target objects indoors. This is of great significance in fields such as autonomous driving and indoor navigation robots. Pure inertial navigation data position calculation can also be used in the aerospace field. In aircraft, since the GPS signal may be interfered at high altitudes or far from the ground, pure inertial navigation data position calculation can be used as a backup positioning method. It can calculate the position and attitude of the aircraft in real time through the data measured by the IMU, and provide it to the flight control system for attitude stabilization and flight path planning. 3. Challenges of position calculation using pure inertial navigation data Position calculation based on pure inertial navigation data still faces some challenges in practical applications. First of all, the IMU sensor itself has errors and noise, which will affect positioning accuracy. In order to improve the solution accuracy, the IMU sensor needs to be calibrated and error compensated, and an appropriate filtering algorithm is used to reduce the error. Position calculation based on pure inertial navigation data is prone to cumulative errors during long-term movements. Due to the characteristics of the integration operation, even if the measurement accuracy of the IMU sensor is high, long-term integration will lead to the accumulation of positioning errors. In order to solve this problem, other positioning means (such as GPS, visual sensors, etc.) can be introduced for auxiliary positioning, or a tightly coupled inertial navigation method can be used. Position calculation based on pure inertial navigation data also needs to consider the impact of the dynamic environment. In a dynamic environment, the target object may be affected by external forces, causing deviations in the data measured by the IMU. In order to improve the robustness of the solution, the effects of dynamic environments can be compensated through methods such as motion estimation and dynamic calibration. Summarize Pure inertial data position calculation is a positioning method based on IMU measurement. By acquiring acceleration and angular velocity data, combined with initial position and attitude information, the position and attitude of the target object are calculated in real time. It has wide applications in indoor navigation, aerospace and other fields. However, pure inertial navigation data position calculation also faces challenges such as calibration error, cumulative error and dynamic environment. In order to improve the solution accuracy and robustness, appropriate calibration methods, filtering algorithms and auxiliary positioning methods need to be adopted. The MEMS IMU independently developed by Micro-Magic Inc has relatively high accuracy, such as UF300A and UF300B, which have higher accuracy and are navigation-grade products. If you want to know more about IMU, please contact our professional technicians as soon as possible.   UF300 High-precision Miniaturized Inertial Measurement Unit Fiber Optic Inertial Measurement Unit   -