Various techniques are disclosed for smart surveillance camera systems and methods using thermal imaging to intelligently control illumination and monitoring of a surveillance scene. For example, a smart camera system may include a thermal imager, an IR illuminator, a visible light illuminator, a visible/near IR (NIR) light camera, and a processor. The camera system may capture thermal images of the scene using the thermal imager, and analyze the thermal images to detect a presence and an attribute of an object in the scene. In response to the detection, various light sources may be selectively operated to illuminate the object only when needed or desired, with a suitable type of light source, with a suitable beam angle and width, or in otherwise desirable manner. The visible/NIR light camera may also be selectively operated based on the detection to capture or record surveillance images containing objects of interest.

Smart surveillance camera systems and methods

Building monitoring and control systems including bi-directional radio frequency links between master and remote units wherein the remote units operate in a low power, non-receiving state a majority of the time ie disclosed. The bi-directional capability allows coordinated scheduling which aids in allowing the remote units to transmit data only at periodic time intervals to extend battery life. The bi-directional capabilities also allow for re-read requests for alarm validation and for putting remote units in armed and disarmed states for power conservation.

State validation using bi-directional wireless link

Devices, methods, and systems for occupancy detection are described herein. One device embodiment includes a memory and a processor coupled to the memory. The processor is configured to execute executable instructions stored in the memory to determine energy consumption data associated with a structure at a point in time, and determine whether the structure is occupied at the point in time based, at least in part, on the determined energy consumption data.

Devices, methods, and systems for occupancy detection

In order to enhance the performance of spaceborne synthetic aperture radar–ground moving target indication (SAR-GMTI) systems, multichannel systems with large and preferably nonuniform baselines are required. In this paper, SAR-GMTI algorithms for multichannel SAR systems, which we call multichannel displaced phase center antenna (DPCA), multichannel along track interferometry (ATI), and multichannel DPCA-ATI, are presented. Multichannel DPCA is a deterministic algorithm for clutter and azimuth ambiguity suppression. It successfully suppresses not only uniform azimuth ambiguities but also nonuniform isolated ones, since it does not require uniform clutter covariance assumption as adaptive algorithms do. Multichannel ATI and multichannel DPCA-ATI are the algorithms for target radial velocity estimation. Both of them reduce the target radial velocity ambiguities, which arise with the long baseline systems, by exploiting the multiple receive channel signals. And multichannel DPCA-ATI further achieves robust performance to clutter influence by suppressing the clutter and the azimuth ambiguity in advance. The performances of the proposed algorithms are shown through airborne Ku-band three-channel SAR experiments. It is shown that the multichannel DPCA suppresses strong azimuth ambiguity up to more than 20 dB, and the accuracy of the radial velocity estimation of the multichannel DPCA-ATI is on the order of 0.1 m/s. Furthermore, statistical performance analysis is presented to discuss the potential performance on the spaceborne system.

Image-Based Target Detection and Radial Velocity Estimation Methods for Multichannel SAR-GMTI

Systems and methods for managing a programmable thermostat are described herein. One or more system embodiments include a programmable thermostat having a first management profile; a data acquisition subsystem; and a data analysis subsystem. The data acquisition subsystem is configured to receive thermostat data from the programmable thermostat, and the data analysis subsystem is configured to receive the thermostat data from the data acquisition subsystem, and determine a second management profile for the programmable thermostat based, at least in part, on the thermostat data.

Systems and methods for managing a programmable thermostat

A vehicle ID radar system has a simple construction and obtains high identifying performance by making a general identification based on a plurality of responses. There are provided an antenna for obtaining a plurality of question signals from a base station radar unit, a receiver for processing the signals received from the antenna, a question code demodulator for demodulating question codes from the received signals, a question code decoder for decoding the question codes and reading responses respectively corresponding to the plurality of questions from a plurality of data bases, a response code generator for generating response signals, and a transmitter for modulating the response signals and supplying them to the antenna.

Moving target identifying system in a base station radar unit for specifying information about moving targets carrying a mobile station radar unit

The authors have recently proposed an algorithm for target detection and velocity estimation for multi-channel SAR-GMTI (Synthetic Aperture Radar - Ground Moving Target Indication) systems [1]. The proposed algorithm is a combination of extensions of DPCA (Displaced Phase Center Antenna) and ATI (Along Track Interferometry). In this paper, we report some results obtained from an airborne three-channel SAR experiment to show the potentials of the proposed algorithms.

An experimental study on image based multi-channel SAR-GMTI algorithm

PBR (Passive Bistatic Radar) exploits existing transmitters for sources of illumination In general, PBR requires long-time coherent integration for improvement of SNR (Signal-to-Noise Ratio), because PBR cannot control transmitter related to the gain For long-time coherent integration of signals, range cell migration caused by the target movement should be compensated A conventional algorithm expands range cell migration by polynomial, and searches for coefficients of the polynomial sequentially with stretch-processing; however, this algorithm takes a long-time for the compensation In addition, most conventional algorithm should remove guard-interval to suppress the ambiguity To overcome this problem, this paper proposes a modified long-time coherent integration algorithm for PBR that considers the relationship between 1st order of range cell migration and Doppler frequency by using Doppler filtering processing based on short-time cross-correlation This two-step Doppler processing does not require to remove guard-interval because effective symbol-time of ISDB-T satisfies PRI (Pulse Repetition Interval) of this analysis Furthermore, the proposed algorithm compensates 2nd and higher order of range cell migration after performing 1st order of that for fast processing The experimental results show the effectiveness of the proposed algorithm

Long-time integration by short-time cross-correlation and two-step Doppler processing for Passive Bistatic Radar

This paper develops a new algorithm to calculate the reference inverse synthetic aperture radar (ISAR) images of candidate targets for ship target recognition. To make reference images, cross range aids defined by the target's unknown angle velocity vector must be estimated for projection of reflectivity on the candidate targets to the range-Doppler plane. To estimate cross range axis, we extract the centerline and the Doppler width of the ship target from the observed ISAR image. By using these information and the relation between the direction vector of the straight line in the space and the ISAR image formulated in this paper, the cross range vector can be estimated for each candidate target. The effectiveness of the proposed algorithm is evaluated by using simulated targets.

A new algorithm to calculate the reference image of ship targets for ATR using ISAR

PURPOSE: To provide an automobile radar device with which discriminating performance can be improved with a simple configuration by totally discriminating an automobile based on plural responses. CONSTITUTION: This device is provided with an antenna 36 for providing plural question signals from a radar part on the side of base station, receiver 37 for processing the received signals of the antenna 36, question code demodulator 38 for demodulating a question code from the received signals, question code decoder 39 for reading the responses respectively corresponding to plural questions from plural question/response data bases 40a to 40c, response code generator 41 for generating a response signal, and transmitter 34 for modulating the response signal and supplying it to the antenna 36.

Kazuhiko Yamamoto

Papers

Moving target identifying system in a base station radar unit for specifying information about moving targets carrying a mobile station radar unit

An experimental study on image based multi-channel SAR-GMTI algorithm

Long-time integration by short-time cross-correlation and two-step Doppler processing for Passive Bistatic Radar

A new algorithm to calculate the reference image of ship targets for ATR using ISAR

Base station radar device, mobile station radar device, and mobile object discriminating system