Microchip’s New Motion Module Makes Motion Monitoring Easy

Microchip Technology Inc., a leading provider of microcontroller, mixed-signal, analog and Flash-IP solutions, today announced from the Embedded World conference in Germany the MM7150 Motion Module—which combines Microchip’s SSC7150 motion co-processor combined with 9-axis sensors, including accelerometer, magnetometer and gyroscope in a small, easy to use form factor.  With a simple I2C™ connection to most MCUs/MPUs, embedded/Internet of Things (IoT) applications can easily tap into the module’s advanced motion and position data.150122-CPG-DIAG-LabeledModulePhoto-7x5

View a brief presentation:  http://www.microchip.com/MM7150-Press-Presentation-022415a

The motion module contains Microchip’s SSC7150 motion co-processor which is pre-programmed with sophisticated sensor fusion algorithms which intelligently filter, compensate, and combine the raw sensor data to provide highly accurate position and orientation information.  The small form factor module is self-calibrating during operation utilizing data from the pre-populated sensors; Bosch BMC150 (6 axis digital compass) and the BMG160 (3 axis Gyroscope).  The MM7150 motion module is single sided to be easily soldered down during the manufacturing process.  Microchip 141712-CPG-PHOTO-MM7150_AB0-Angle-7x5makes it easy to develop motion applications for a variety of products using their MM7150 PICtail™ Plus Daughter Board.  The MM7150 Motion Module is well suited for a wide range of applications in the embedded (e.g., portable devices, robotics), industrial (e.g., commercial trucks, industrial automation, patient tracking, smart farming), consumer-electronics markets (e.g., IoT, remote controls, gaming devices, toys, wearable devices), among others.

“Our new motion module makes it easy and cost effective to add motion capability to an endless variety of embedded and IoT applications,” said Patrick Johnson, vice president of Microchip’s Computing Products Group.  “Because the MM7150 motion module is pre-programmed with the key algorithms, virtually anyone can add this capability without needing to spend years becoming motion experts.”

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