Abstract: The present application describes an integrated module. The integrated module includes a microcontroller, an inertial measurement unit (IMU), a low-power accelerometer, and an environmental sensor. A noise target between the IMU and low-power accelerometer is less than a noise target be the IMU and microcontroller. The present application also describes a method of using an integrated module.

Abstract: The present application describes a machine learning method for detecting tamper. The method includes a step of training a model using one or more values obtained from one or more different sensors on an integrated module. The one or more values act as training data with respect to one or more of light, acceleration, magnetic field, rotation, temperature, pressure, humidity, and audio. The method also includes a step of predicting, via the trained model, tampering of the of the integrated module. The present application also describes a system for detecting tamper.

Abstract: The present application includes a computer-implemented method for detecting a tamper event. The method includes a step of receiving, from one or more sensors on an integrated module, data indicating one or more of light, acceleration, magnetic field, rotation, temperature, pressure, humidity, and audio. The method also includes a step of transmitting, to a microcontroller/evaluation engine coupled to the integrated module, the received data from the one or more sensors. The method further includes a step of determining, via the microcontroller, the received data exceeding one or more configurable thresholds of the tamper event. The method even further includes a step of assigning, via the microcontroller, a score associated with each of the one or more configurable thresholds being exceeded by the received data. The method yet even further includes a step of collecting, via the microcontroller, an aggregate total based on the assigning step.

Abstract: The present application describes an integrated module. The integrated module includes a microcontroller, an inertial measurement unit (IMU), a low-power accelerometer, and an environmental sensor. A noise target between the IMU and low-power accelerometer is less than a noise target be the IMU and microcontroller. The present application also describes a method of using an integrated module.

Abstract: The present application describes an integrated module. The integrated module includes a microcontroller, an inertial measurement unit (IMU), a low-power accelerometer, and an environmental sensor. A distance between the environmental sensor and the IMU is greater than a distance between the IMU and the low-power accelerometer. The present application also describes a method of making an integrated module. The present application also describes a tamper detection system.

Abstract: The present application describes a machine learning method for detecting tamper. The method includes a step of training a model using one or more values obtained from one or more different sensors on an integrated module. The one or more values act as training data with respect to one or more of light, acceleration, magnetic field, rotation, temperature, pressure, humidity, and audio. The method also includes a step of predicting, via the trained model, tampering of the of the integrated module. The present application also describes a system for detecting tamper.

Abstract: The present application includes a computer-implemented method for detecting a tamper event. The method includes a step of receiving, from one or more sensors on an integrated module, data indicating one or more of light, acceleration, magnetic field, rotation, temperature, pressure, humidity, and audio. The method also includes a step of transmitting, to a microcontroller/evaluation engine coupled to the integrated module, the received data from the one or more sensors. The method further includes a step of determining, via the microcontroller, the received data exceeding one or more configurable thresholds of the tamper event. The method even further includes a step of assigning, via the microcontroller, a score associated with each of the one or more configurable thresholds being exceeded by the received data. The method yet even further includes a step of collecting, via the microcontroller, an aggregate total based on the assigning step.

Abstract: The present application describes an integrated module. The integrated module includes a microcontroller, an inertial measurement unit (IMU), a low-power accelerometer, and an environmental sensor. A distance between the environmental sensor and the IMU is greater than a distance between the IMU and the low-power accelerometer. The present application also describes a method of making an integrated module. The present application also describes a tamper detection system.