Massachusetts Institute of Technology

Stephen Sai-Wung Ho

Sanjay Emani Sarma

Kamal Youcef-Toumi

Rached Ben Mansour

Joshua Eric Siegel

Dimitrios Chatzigeorgiou

Jacob Pretorius

A system and method for accurately detecting contact between two objects in a medium comprises at least one sensor for detecting vibration of a first of the two objects and a central processing unit (CPU) for receiving an output of the at least one sensor, wherein the CPU performs the steps: converting the output of the sensor into digital form; during a calibration phase, changing the data from time domain to frequency domain; and during the calibration phase, determining a first frequency range associated with actual contact between the two objects, and a second frequency range associated with a false positive contact between the two objects. A signal processor is provided for filtering all data except that which falls within the first frequency range so as to confirm actual contact between the objects.

System and method for discriminating between origins of vibrations in an object and determination of contact between blunt bodies traveling in a medium

The system includes structure for supporting at least one tube within a pipe. The tube has one end disposed close to, or in contact with, a wall of the pipe. A sensor is disposed within the at least one tube to detect a pressure gradient or fluid movement within the tube. Such pressure gradient or fluid movement indicates a leak in the pipe adjacent to the tube location. In a preferred embodiment, the structure is a ring sized to fit within the pipe and the ring supports a plurality of tubes. In another aspect, the tube includes a restriction to prevent flow and pressure is measured on each side of the restriction.

Leak detection system

A communication device for providing road conditions and monitoring congestion, contains a memory and a processor configured by the memory to perform the steps of: extracting key current vehicle and/or traffic insight; determining if the extracted key current vehicle and/or traffic insight represents a departure from expected vehicle and/or traffic insight; if the extracted key current vehicle and/or traffic insight is a departure from expected vehicle and/or traffic insight, using the key current vehicle and/or traffic insight to create a smart message, wherein the smart message contains the extracted key current vehicle and/or traffic insight; and if the extracted key current vehicle and/or traffic insight is a confirmation of expected vehicle and/or traffic insight, creating a confirmation message that does not contain the extracted key current vehicle and/or traffic insight, yet confirms similarity between the extracted key current vehicle and/or traffic insight and the expected vehicle and/or traffic insight.

Growing community of inventors

Cambridge, MA, United States of America

Stephen Sai-Wung Ho