HMR3100-DEMO-232 Allicdata Electronics

HMR3100-DEMO-232 Development Boards, Kits, Programmers

Allicdata Part #:

342-1038-ND

Manufacturer Part#:

HMR3100-DEMO-232

Price: $ 0.00
Product Category:

Development Boards, Kits, Programmers

Manufacturer:
Short Description: KIT DEMO DGTL COMPASS MOD RS232
More Detail: HMR3100 - Magnetic, Digital Compass Sensor Evaluat...
DataSheet: HMR3100-DEMO-232 datasheetHMR3100-DEMO-232 Datasheet/PDF
Quantity: 1000
Lead Free Status / RoHS Status: Contains lead / RoHS non-compliant
1 +: 0.00000
Stock 1000Can Ship Immediately
$ 0
Specifications
Series: --
Part Status: Obsolete
Lead Free Status / RoHS Status: --
Sensor Type: Magnetic, Digital Compass
Sensing Range: ±2 Gauss
Interface: --
Sensitivity: --
Voltage - Supply: 2.6 V ~ 5 V
Embedded: --
Supplied Contents: Board(s)
Utilized IC / Part: HMR3100
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

Evaluation Boards - Sensors

The HMR3100-DEMO-232 is a versatile evaluation board designed for top-of-the-line sensors. The board supports eight digital and four analog input channels, allowing a range of sensor solutions to be evaluated with ease. With a wide range of packages to choose from, this evaluation board can be applied in a variety of applications, ranging from industrial control to automotive electronics.

Application Field

The HMR3100 DEMO-232 evaluation board is designed for demanding sensor applications. It offers a convenient platform for evaluating single-ended and differential 8-bit digital and 4-bit analog input solutions. The board is compatible with industrial control systems and various automotive applications. With a wide range of supported packages, it can be used for a variety of sensor solutions. These include temperature sensors, ambient light sensors, ultraviolet light sensors, infrared motion and presence sensors, hall-effect magnetic field sensors, measuring voltage, current and pressure.

Working Principle

The HMR3100-DEMO-232 evaluation board works by inputting data into the 8-bit digital and 4-bit analog ports. The data is then processed and the results can be read on the eight digital and four analog input channels. The board supports single-ended and differential 8-bit digital and 4-bit analog input solutions, allowing the board to support a range of sensor solutions. The board also supports SPI, I2C, and 1-wire bus protocols, allowing for a range of digital communication options.

Once the data is acquired from the sensor, the board then processes and filters the data to remove noise and reduce jitter. The board also has adjustable comparator parameters that can be configured to operate the board optimally for the specific application. In order to provide further functionality, the board also has a 32-bit external bus interface allowing it to be connected to a peripheral system for further data manipulation.

In order to evaluate the data, the board has two ways of doing this. The first way is through a Digital Waveform Analysis which offers 8-bit and 16-bit resolution, and the second way is through an Analog Noise Monitor, providing 4-bit and 8-bit resolution.

The board is also designed to work with an ARM CM3 Cortex-M3 to provide further instruction processing and enhanced user experience. The board has vast amounts of memory, allowing for large data sets to be stored and analyzed securely and efficiently. Furthermore, the board offers an auto-zero calibration for both the temperature sensor and the magnetometer.

Conclusion

The HMR3100-DEMO-232 evaluation board provides a versatile solution for evaluating a wide range of sensor solutions. With a wide range of packages to choose from, the board can be applied in a variety of applications. Its 8-bit digital and 4-bit analog input channels provide a range of options for inputting data. Furthermore, it works with an ARM CM3 Cortex-M3 to provide further instruction processing and enhanced user experience. Additionally, the board has vast amounts of memory allowing for large data sets to be stored and analyzed securely and efficiently.

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

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