Objective The objective of the project is to use the Raspberry Pi to create a touchscreen, and Heads Up Display (HUD) for a car. The HUD will also present other necessary real-time data about the vehicle by way of a graphical user interface on a PiTFT screen. Speed, acceleration, temperature inside the car, and rotations […]
Raspberry Pi Car HUD Read More »
Murata has developed a new MEMS (Micro-Electro-Mechanical Systems) 6DoF (Six Degrees of Freedom) inertial sensor for autonomous Off-Highway vehicles, dynamic inclination sensing and GNSS positioning support. The sensor enables further advancement in technology and novel solutions for advanced driver / operator assistance systems, autonomous vehicles and GNSS based measurement instruments. The product delivers highest performance available on component
SCHA63T 6-DOF XYZ-AXIS GYROSCOPE & XYZ-AXIS ACCELEROMETER WITH DIGITAL SPI INTERFACE Read More »
A few years ago, when the Arrow DECA development board was introduced with Altera’s MAX 10 FPGA, the board was offered for $169. Later on, Intel purchased the Altera FPGA business and the price of the board reduced to $65. The price has now dropped tremendously again and the board can now be purchased for just $37. DECA features
ARROW DECA BOARD WITH INTEL’S MAX 10 FPGA NOW SELLS FOR $37 Read More »
Edge computing has many great advantages. When you take some resource-heavy work from servers and let your less capable but still slightly powerful microcontrollers, you end up freeing server resources. Also, depending on what you are doing, you can get away with not using a server at all! There is a lot you can do
HIMAX WE-I PLUS EVB: COMPUTER VISION AND AI ON THE EDGE Read More »
Melexis, a global microelectronics engineering company, has unveiled the MLX91805 smart tire sensor to help OEMs prepare for the forthcoming extension of mandatory tire-pressure monitoring to include commercial vehicles and to enable future generations of smart tires. Specially designed to be embedded in the tire, unlike current rim-mounted TPMS sensors, the MLX91805 TMS integrates an 800g XZ-axis
MELEXIS ANNOUNCES WORLD-FIRST COMBINED SENSOR FOR SMART TIRES Read More »
Bosch Sensortec’s BHI260AB ultra-low-power high-performance smart sensor hub with integrated accelerometer and gyroscope Bosch Sensortec’s BHI260AB is a family of ultra-low-power smart hubs consisting of Bosch Sensortech’s programmable 32-bit microcontroller (Fuser2), a state-of-the-art 6-axis IMU, and a powerful software framework containing pre-installed sensor fusion and other sensor processing software within a small 44-pad LGA package.
BHI260AB ULTRA-LOW-POWER SMART SENSOR HUB Read More »
Reaction wheels are useful things, typically used by satellites to keep themselves oriented the right way up in space. Turning the reaction wheel creates an equal and opposite torque in the spacecraft, allowing it to point and rotate itself accurately. The same technique also works here on Earth, and [Brick Experiment Channel] decided to build one
BUILDING REACTION WHEELS WITH PYTHON AND LEGO Read More »
Murata has introduced the SCC300 series components that combine high-performance angular rate and accelerometer sensor components. The SCC300 is the 3rd generation of MEMS (Micro-Electro-Mechanical Systems) 4DoF (four-degrees-of-freedom) and 5DoF (five-degrees-of-freedom) inertial sensors that realize high-performance for safety-critical automotive applications. The new device consists of versions of an X-axis, Z-axis, and XZ-axis angular rate sensor and a 3-axis accelerometer sensor.
A team of researchers at the ‘Georgia Institute of Technology’ has come up with a non-invasive sensor-in-a-chip that records details of the heartbeat, respiration rates, and lung sounds. It even tracks the wearer’s physical activities, such as walking. The signals are recorded in sync, potentially giving healthcare workers a detailed overview of a patient’s heart and lungs.
COMPACT NON-INVASIVE SENSOR CHIP DEVELOPED TO RECORD MULTIPLE HEART AND LUNG SIGNALS Read More »
This sketch demonstrates an example of accelerometer data processing using a classification tree. The classifier code was generated using the Python script classifier_gen.py using recorded and labeled training data. The underlying classification tree was automatically generated using the Python scikit-learn library. The purpose of the classifier is to categorize a multi-dimensional data point into an integer representing membership within
Raspberry Pi Pico Decision Tree Classifier Read More »
