EV_ICM-20948 Allicdata Electronics
Allicdata Part #:

1428-1127-ND

Manufacturer Part#:

EV_ICM-20948

Price: $ 21.66
Product Category:

Development Boards, Kits, Programmers

Manufacturer: TDK InvenSense
Short Description: EVAL BOARD
More Detail: ICM-20948 - Accelerometer, Gyroscope, Magnetometer...
DataSheet: EV_ICM-20948 datasheetEV_ICM-20948 Datasheet/PDF
Quantity: 31
Lead Free Status / RoHS Status: Not applicable / Not applicable
Moisture Sensitivity Level (MSL): 1 (Unlimited)
1 +: $ 19.68750
Stock 31Can Ship Immediately
$ 21.66
Specifications
Series: --
Part Status: Active
Lead Free Status / RoHS Status: --
Sensor Type: Accelerometer, Gyroscope, Magnetometer, 3 Axis
Moisture Sensitivity Level (MSL): --
Sensing Range: ±2g, 4g, 8g, 16g, ±250°/sec, ±500°/sec, ±1000°/sec, ±2000°/sec, ±4900µT
Interface: --
Sensitivity: --
Voltage - Supply: --
Embedded: --
Supplied Contents: Board(s)
Utilized IC / Part: ICM-20948
Description

Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us:   sales@allicdata.com

The EV_ICM-20948 is an evaluation board featuring Invensense’s ICM-20948 9-axis motion sensor, a low-power MotionTracking device that simultaneously provides 6-axis motion processing (3-axis accelerometer + 3-axis gyroscope). The sensor provides a wide range of sensing features in a small 2x2x0.9mm package.

This evaluation board was specifically designed to support fast and easy development of applications using the ICM-20948. It provides an integrated voltage regulator that supports battery-power operation. The regulator allows for operation with any battery type, ranging from 3.0V to 5.5V. The on-board voltage regulator also supports board-level interrupts for power management.

The ICM-20948 can detect and process motion in one, two, or three dimensions. The sensing elements on the ICM-20948 are calibrated to K-type thermistors embedded in the IC package, and the board also includes a temperature sensor with a 1-degree Celsius resolution for enhanced accuracy. The ICM-20948 can detect and process motion in the absence of direct contact, allowing it to track motion in three dimensions simultaneously.

The ICM-20948 provides several features to improve the accuracy of motion sensing. It is capable of self-calibration and compensation for both gyroscope drift and accelerometer cross-axis sensitivity. It also features gyroscope auto-zero and improved FIFO algorithms to reduce power consumption.

The EV_ICM-20948 evaluation board provides programmable interrupt events that can be used to trigger applications when certain conditions are met. This includes the ability to generate interrupts when the device detects motion, detects specific motion events, or when a pre-configured threshold level is reached.

The board also includes support for event detection, such as double tap and orientation change detection. These events can be used to trigger external processes such as lighting, playing music, or power up/down of other connected devices.

The EV_ICM-20948 evaluation board provides the necessary connectivity for the ICM-20948 to be integrated with other platforms for development, such as PCs, microcontroller boards, and Raspberry Pis. It includes a connector for USB communication, and it is also compatible with I2C, SPI, and UART communication protocols.

The EV-ICM-20948 includes on-board support for debugging with Atmel\'s SAM-BA software. It can be used to quickly configure and update the device settings. Additionally, the board includes a dedicated reset button as well as buttons for quick access to data and software.

In summary, the EV_ICM-20948 evaluation board is ideal for fast and easy development of applications using the ICM-20948 motion sensor. It provides all the necessary support for debugging and rapid prototyping and is compatible with a wide range of development platforms. The on-board voltage regulator ensures reliable operation, while the battery-power operation conserves energy. It also features advanced features such as self-calibration, updated FIFO algorithms, and event detection for advanced applications.

The specific data is subject to PDF, and the above content is for reference

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