Other

Russell-william, Ltd.

Lyft, Inc.

Prosper Technology, LLC

Russel William Ltd.

Thomas Danaher Harvey

Russell K Winter

Nedim Savas

Richard S Kain

Joseph H Snively

Nedin Savas

Alexander J Haill

Mahmut N Savas

Duncan A McTaggart

John W Harvey

A method and a system to present samples of products to customers by transporting the samples to the customer's location with an autonomous vehicle. The sample can be a product, a component of a product, a material or a device to gather information in defining the product. The autonomous vehicle is adapted for off road travel and may enter buildings, it can be carried to a nearby location by a street adapted vehicle. Information may be transmitted electronically but physical presence is essential. The customer or the customer's agent receives a presentation of the product definer and a selection of a final product is made. In other cases the autonomous vehicle delivery separate or installed technical equipment to examine the presentation location and assist in the final product selection. For example, photographs from multiple locations can measure a room for installation of carpets or draperies, etc.

Methods for sample presentation using autonomous vehicles

Devices and methods for aiding a large area search for objects. A searcher transmits interrogation signals of long range relative to the return range to be received by a device at the target object. The target device responds with a ping signal modified to be more easily found by means of information contained in the interrogation signal. The information may be in the nature of the received signal or data encoded and embedded. The target device may use a microprocessor to do complex operations using the information from the interrogation signal and other information. Detection of a weak ping is facilitated by such means as being beamed in the direction of the interrogation, arriving at a predictable time, or having parameters adapted to values requested by the searcher. The object is then intercepted with help of the ping or other signals from the device.

Methods and system to assist search and interception of lost objects

A method of confirming the identity of a person who issued a token to signify eligibility for a privilege. Possession token is confirmed to be by the same person by using sensors in the token which track the movements of the person. A machine learning system is trained to evaluate the sensor data detecting transfer of possession of the token. The state of continuous possession since the token was issued or set to an enabled state is confirmed and the privilege is granted. The method of identity confirmation is used in various contexts such as for to control entry to a location, use of a facility or service. It is also useful to determine continuous possession of a weapon to prevent misuse after the weapon is stolen, dropped or lost. Servers, beacons and outside sources of data or inputs to be measured by the sensor can also be used.

Method and device for detecting unauthorized transfer between persons

A method includes determining that an autonomous vehicle is in a zone associated with one or more zone rules; causing, in response to determining that the autonomous vehicle is in the zone, the autonomous vehicle to operate in a controlled mode of operation associated with the zone rules; determining that the autonomous vehicle has exited the zone; and releasing, in response to determining that the autonomous vehicle has exited the zone, the autonomous vehicle from the controlled mode of operation.

Using zone rules to control autonomous vehicle operation within a zone

A method, by a computing device of a first autonomous escort vehicle of a convoy that includes multiple autonomous escort vehicles, that includes: receiving, from a central computing device associated with the convoy, an instruction to prevent one or more environmental vehicles from interfering with movements of the convoy, wherein the instruction is determined by the central computing device based on first sensor data from one or more autonomous escort vehicles in the convoy and the movements of the convoy; determining, based on second sensor data from one or more sensors of the first autonomous escort vehicle, a set of movements for preventing the one or more environmental vehicles from interfering with the movements of the convoy; and performing the set of movements.

Methods to operate autonomous vehicles to pilot vehicles in groups or convoys

A method and system where a first subsystem makes observations and performs surveillance using sensors in a mode that conserves a resource such as power, data transmission band width or processing cycles. This is accomplished by reducing illumination, pixel count, sampling rate or other functions that result in a limited granularity or data collection rate. A machine model is applied to the limited data and, when it evaluates to a suitable result or a prediction of an interesting condition, another subsystem or the same subsystem in a different mode collects data at a finer granularity with a higher data collection size or rate and evaluates that data to determine the nature of the first evaluation. The machine model may be trained in stages on a large scale server and on a small field processor. Data from the sensor may be used for training to improve the second step.

Devices and methods using machine learning for surveillance and granting of privileges

Method and device for detecting unauthorized tranfer between persons

A system and method for counting persons using passages to an area by analyzing vibrations in the floor or the air above the floor with sensors and a machine learning system. The machine learning system uses a model, usually implemented as a neural network on a processor. The network is trained in levels and implemented in layers. Different levels classify and analyze vibrations by timing and frequency, by movements of persons, and by identity of persons The same person is identified by patterns in the vibrations and the vibrations are correlated to determine and count when a person uses a combination of passages. Location information for the person is used to identify persons in places and doing activities of interest. The model may be trained on one processor and downloaded to another processor for evaluation. Additional sensors and levels of training may be implemented on the latter processor.

Method and system to count movements of persons from vibrations in a floor

A method of confirming the identity of a person issued a token and to track that person Possession of the token by the same person is confirmed by using sensors in the token which track the movements of the person. A machine learning system is trained to evaluate the sensor data detecting transfer of possession of the token. The state of continuous possession since the token was issued or set to an enabled state is confirmed and the token is tracked. The method of identity confirmation is used in various contexts such as for to control entry to a location, use of a facility or service. It is also useful to determine continuous possession of a weapon to prevent misuse after the weapon is stolen, dropped or lost. Servers, beacons and outside sources of data or inputs to be measured by the sensor can also be used.

Method and device for tracking a device which may have been transferred between persons

A system and method of navigating in areas. A machine learning model is trained in multiple levels with data concerning basic interpretation of sensors and with analysis of the layout of areas. The model is downloaded to a second processor which may further train the model with sensor data gathered after the download. Additional sensor data along with data from a server or other sources may be used as an input to the model and the second or another processor evaluates the model with the inputs to create outputs which determine the state of compliance. Specific applications include movement around in areas of interest. A vehicle which is controlled by a driver or by data from the machine loading model and it's analysis may be included. The model is used to calculate a path which may be displayed in visual, auditory or tactile modes.

Devices and methods to navigate in areas using a machine learning model

Devices and methods using machine learning to reduce resource usage in surveillance

In one embodiment, a method includes receiving sensor data from one or more sensors of each of one or more vehicles, processing a combination of the sensor data to generate an assessment of an area surrounding the one or more vehicles based on one or more points-of-view of the area, the one or more points-of-view of the area generated based on synchronizing the combination of the sensor data, and detecting an occurrence of an event based on the assessment of the area. The method further includes identifying one or more instructions corresponding to the event, the instructions associated with a particular vehicle and sending one or more executable instructions based on the instructions to the particular vehicle.

Growing community of inventors

Rockville, MD, United States of America

Thomas Danaher Harvey