![]() This sensor is available mounted on a breakout board from Adafruit.īefore using BNO055 IMU, it must be calibrated. The BNO055 can output raw data such as linear acceleration, angular velocity, and magnetic fields, or by using the Bosch fusion data software that is programmed into the BNO055, the IMU can output the Euler angles known as yaw, pitch, and roll, or quaternions. It also contains a 32-bit cortex M0+ micro-controller that runs Bosch Sensortec fusion software. ![]() This sensor combines an advanced tri-axial 16-bit gyroscope with a range of ± 2000 degrees per second, a 14-bit tri-axial accelerometer, and a tri-axial geomagnetic sensor. For this project, I chose the BNO055 Intelligent 9-axis absolute orientation sensor by Bosch. There are many different IMUs on the market. If the captured signature matches the one corresponding to the tag, authentication will be validated. A trained neural network uses data coming from different sensors (accelerometer, magnetometer and gyroscope) and checks them against pre-recorded signatures. When a person uses a RFID tag for identification, the devices waits for an in-air signature using the smart pen. The device called a smart pen is based on an absolute orientation IMU sensor : the BNO055. In this context, this work proposes a double factor authentication system based on the combination of a RFID tag for token-based authentication and an in-air signature device. As a result, Double Factor Authentication has become a standard for user authentication. However, passwords can be disclosed while being input and tokens can be stolen and used by impostors. Authentication systems usually adopt either the conventional identifier-password paradigm or different kinds of tokens (e.g., badges, keys).
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