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1 US Al (19) United States (12) Patent Application Publication (10) Pub. No.: US 2008/ A1 Parker et al. (43) Pub. Date: Sep. 11, 2008 (54) PROCESS AND SYSTEM OF ENERGY Publication Classi?cation SIGNAL DETECTION (51) Int Cl (75) Inventors: James Parker, Temple City, CA G / 00 (200601) US 'R d llw T l C' (CA )(bsgm a ang emp e Hy (52) U.S.Cl /584 Correspondence Address: (57) ABSTRACT Raymond Y. Chan Suite 128, 108 N. Ynez Avenue A process and system of energy signal detection, Which Monterey Park, CA (US) improves sensitivity, performance and reliability thereof and reduces false alarms by distinguishing between noise and real (73) Assignee: EE Systems Group Inc. signals, includes the steps of receiving a plurality of data samples and generating a predetermined number of con (21) APP1- NOJ 12/082,472 structed sample WindoWs of constructed samples in time, determining a control range for each of said constructed (22) Filed: Apr. 11, 2008 sample WindoWs, determining Whether there is an alarm pre condition by comparing relationship between successive con Related US. Application Data structed sample WindoWs, and generating an output signal (63) Continuation-in-part of application No, 11/449,577, Whenthe alarmpre-conditionis quali?ed, anddetectingwhite?led on Jun. 7, light for preventing false alarm created by the White light. Pyroelectric Sensor 20 Microcontroller 30 (e.g. ZiLOG Z8 XP 8Pin SOlC) '.. Signal Infrared lnputzsllgnal Conversion putput - A/D converter 31 Energy 10 _ module m 23 - Signal analysis unit 32 (16-bit A/D Converter 32l) - Differential input source 33 - Temperature Sensor 34 - Internal Oscillator (5.5Ml-lz) 3S Alarm Output Circuit 40

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14 Patent Application Publication Sep. 11, 2008 Sheet 13 0f 18 US 2008/ A1 uc _ _c _ UCL LCL FIG. 12A UCL _c _ UCL LCL FIG. 12B UCL LCL UCL LCL ' FIG. 12C '

15 Patent Application Publication Sep. 11, 2008 Sheet 14 0f 18 US 2008/ A1 1 FIG. 13A _._ FIG. 13B FIG. 13C

16 Patent Application Publication Sep. 11, 2008 Sheet 15 of 18 US 2008/ A1 i-us v00 Z8 XP 8 Pin SOIC i/reset/paz PA3/ANA2 lpao/dbg PA1/ANA3Nref 07 PA4/ANA1 PAS/ANAO Z8FO82ASB02OSG2154 vss CU Option Jumper 3 Option Jumper4 FIG. 14A Prior Art

17 Patent Application Publication Sep. 11, 2008 Sheet 16 0f 18 US 2008/ A1 +3.3V H v00 U1 Z8 XP 8 Pin SOIC AIReset/PAZ PA3/ANA2 5- R2 lipao/dbg PA1IANA3Nref 3-100K -5- PA4IANA1 PASIANAO Z8F082ASB020SG2154 vss R1 80K 7 Option Jumper 1 J1 El: 55K Option Jumper 2 J2 El: 56K Option Jumper 3 J3 EE $05K Option Jumper 4 J4 EC? 23 FIG. 14B

18 Patent Application Publication Sep. 11, 2008 Sheet 17 0f 18 US 2008/ A1 +3.3V +3_3V _ U2 v00 Z8 XP 8 Pin SOIC $37K AIReset/PAZ PA3lANA2 5- R8 lpao/dbg PA1IANA3Nref 3-100K ii PA4IANA1 PASIANAO 7 J\/\/\F a Z8F082ASB020SG2154 vss R9 Option Jumper 1 J 51: 40K R10 Option Jumper 2 J2 [5E 20K VR1 Variable Adjustment 1 Trimpot 1 10K vr2 Variable Adjustment 2 Trimpgt 2 5K FIG. 14C

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20 US 2008/ A1 Sep. 11,2008 PROCESS AND SYSTEM OF ENERGY SIGNAL DETECTION CROSS REFERENCE OF RELATED APPLICATION [0001] This is a Continuation-In-Part application of a non provisional application having an application Ser. No. 11/449,577 and a?ling date of Jun. 7, BACKGROUND OF THE PRESENT INVENTION [0002] 1. Field of Invention [0003] The present invention relates to energy signal detec tion, and more particularly to a process and system of energy signal detection that minimizes false alarms and maximizes the sensitivity, performance and reliability of the energy sig nal detection. [0004] 2. Description of Related Arts [0005] The great number of false alarms causes the security industry to loose credibility With government and private enforcement agencies. A trend of no response policies and heavy?nes for false alarms is in place already for many jurisdictions. Some false alarms are user related, but the majority of false alarms originate from Passive Infra Red (PIR) detectors, most of Which in use today are low end, low cost units. [0006] A motion detector is one kind of energy signal detection devices Which utilizes Passive Infra-Red (PIR) technology to detect movement of body heat for activating the alarm in the event of an intrusion. The conventional motion sensor, such as PIR detector, usually comprises a sensor cas ing, a sensing element, a lens directing infrared energy onto the sensing element so as to detect a movement of a physical object Within a detecting area, and a decision making circuit (Which may comprise of an analog-to-digital converter) for compiling an electrical signal Which is outputted from the sensing element so as to recognize the physical movement in the detecting area. [0007] A typical conventional energy signal detector uses a pyroelectric sensing module as the sensing element that has a very low analog signal level output. A low but still usable AC signal is in the order of l to 2 mvp-p With a much larger ~10 mvp-p of high frequency noise component, all of Which rides on a DC component of 400 mv to 2000 mv, that Will change With temperature, aging and also part to part. The usable frequency component of this signal is from 0.1 HZ to 10 HZ. The lens directs infrared energy onto this sensing element. The sensing element s output is traditionally fed into a tight band pass?lter stage to reduce high frequency noise and strip the DC element that the signal rides on. It is then fed into a high gain stage (typically ~72 db) so that the signal can be used by either discreet components or by a microcontroller to make decisions and act upon them. [0008] A drawback of the traditional energy signal detector is the?lter and gain stages. By?ltering the signal, it also removes information that is sometimes critical to being able to make a reliable decision. Any signal discontinuity between the sensing element and the?lter stage due to external elec trical factors or forces Will look no different then a low level infrared energy signature at the output of the gain stage. This impacts the energy signal detector s maximum range and pet immunity reliability. The typical information processing methods available after these stages are to do root mean squared energy under the curve analysis or similar, to deter mine if the energy exceeds a threshold limit. Older detecting processors do not have the processing power for more elegant techniques to be used. There is also a frequency component as Well. It Will vary from 0.1 HZ to 10 HZ and change With movement. There is often not even a single full cycle of any given frequency to use. [0009] With such limitations due to the signal pre-condi tioning, almost all conventional energy signal detectors include a pulse count feature that basically admits that the energy signal detector can false under normal operating con ditions. Higher end, more expensive, energy signal detectors can include a secondary sensing method (such as a micro Wave sensor) Where it needs one technology to con?rm the other in the decision making process. [0010] More speci?cally, the pyroelectric sensing module usually comprises a signal input to receive an infrared signal created by infrared energy of a moving target, for example, in the detecting area, a signal output adapted for producing a predetermined level of output signal in response to the infra red signal, Wherein the output signal is fed into the decision making circuit for further analysis for recognizing the physi cal movement of the moving target in the detecting area. [0011] A major problem for the conventional energy signal detector, especially a motion detector, is that the output signal of the pyroelectric sensing module (+DC offset) is very low, typically in the order of milli-volts, so that the output signal corresponding With actual physical movement Within the detecting area is easily superseded by surrounding noise or other factors Which may affect the infrared energy received by the pyroelectric sensing module. As a result, the overall per formance of the conventional motion sensor Will be limited. [0012] In order to overcome this problem, the motion detector may further comprise a signal?ltering circuitry and a signal amplifying circuitry electrically connected With the pyroelectric sensing module, Wherein the output signals of the pyroelectric sensing module are fed into the signal?lter ing circuitry and the signal amplifying circuitry Which are arranged to?lter noise signals and amplify the remaining signals respectively for further processing of the output sig nals of the pyroelectric sensing module. Therefore, some signals are removed from the output signals When they have passed through the signal?ltering circuitry and the signal amplifying circuitry. [0013] A persistent problem With such signal?ltering and signal amplifying strategies is that some signals Which re?ect the actual physical movement, as opposed to surrounding noise, may be mistakenly removed by the signal?ltering circuitry so that the real or actual physical movements Within the detecting area may not be successfully detected. On the other hand, those output signals Which re?ect surrounding noise or any other environmental factors may be mistakenly interpreted as an actual physical movement in the detecting area so that false alarms may be generated as a result. [0014] One Way to overcome these design limitations is to feed the signals directly into a DSP processor. A DSP proces sor is capable of Working very Well With low signal levels and high frequency components. Aside from signi?cant cost increases With this approach, it still has its technical draw backs as Well. For example, the DSP consumes higher power than What is typically allotted for a PIR design. [0015] A DSP processor is designed to Work on signals in the frequency domain. It is uniquely tailored to be able to accomplish Fourier math analysis of signals at high frequen cies. The problem here is this signal exists predominantly in

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