[0059]Such asfigure 1As shown, a home-based home door anti-theft system, including the handle acquisition unit, data accumulation unit, real-time comparison unit, data integrated unit, fingerprint recognition unit, random draw unit, processor, display unit, storage unit , Pressure detection unit, sneaked analysis unit, intelligent equipment, and alarm unit;
[0060]The processor communicates with the pressure detecting unit, the smart device, the alarm unit, the display unit, and the storage unit, and the pressure detecting unit communicates with the sub-analytical unit, the sneaked analysis unit communicates with the processor;
[0061]Among them, the handset acquisition unit is an acquisition device set on the door. It is used to obtain the palm information, the palm information includes a fingerprint information group and a handprint information, and the fingerprint information group refers to the fingerprint of five fingers. The handprint information is the user's palm. The handprint image on the handset acquisition unit is configured to transmit it to the fingerprint recognition unit when the hand palm information is acquired, and the handicipation acquisition unit transmits the random draw unit when it acquires the hand palm information. The signal, the random drawing unit automatically enters the calculation analysis when receiving the calculation acquisition unit transmitted, and the specific steps of calculation analysis are:
[0062]Step 1: Get the timestamp that receives the calculation signal, acquire the timestamp in the form of the month, day, time and division, sequentially use X1-X8 in turn; corresponding example is 06 When the month is 23:41:00, the X1-X8 corresponds to the number 06202341;
[0063]Step 2: Get digital time groups xi, i = 1 ... 8;
[0064]Step 3: Get Xi, i = 1 ... 8, using the formula to calculate the selected value XT, the specific calculation formula is:;
[0065]Step 4: When the XT is an integer, do not do any processing; otherwise, xtraction = | XT |, ie, Turn XT;
[0066]Step 5: Depending on the XT value acquire the corresponding subclatable value Cx; and obtain the number of feature numbers one and the characteristics of the characteristic number of the sumbox value;
[0067]S1: After getting the XT value, if xt% 8 = 0, then the order value Cx = 8, otherwise CX = xt% 8;
[0068]S2: Get Xi, i = 1 ... 8; First, start from the first bit, when the CX number is selected, it is marked as a feature number one;
[0069]S3: After removing the corresponding special evidence, re-starting from the first bit, select the bottom CX number, if the CX is greater than 7, then the corresponding slave started again, when the new number is obtained, it is marked as a characteristic number. ;
[0070]Step 6: According to the number of feature one and characteristics, the aligned fingerprint information is selected, and the specific selection process is as follows:
[0071]S01: Start the five fingers from the thumb, sequentially assign the tag 1-5;
[0072]S02: Get the number of feature 1. From the first finger, select a finger of the feature number, if the characteristic number is more than five, then from the beginning, the finger is labeled as the fingerprint of the finger as the fingerprint one;
[0073]S03: After removing the correct finger selected to be tested, re-from the first finger, obtain the two fingers of the feature, and mark the fingerprint of the finger as the fingerprint of the fingerprint;
[0074]S04: Fixed fingerprint information to be tested by finishing fingerprints;
[0075]The random drawing unit is configured to transmit the fingerprint information to the fingerprint identification unit, the fingerprint identification unit to receive the stocked fingerprint information transmitted by the random draw unit, the pre-stored standard fingerprint information within the fingerprint recognition unit, The standard fingerprint information is a fingerprint information of the household; the fingerprint recognition unit is configured to compare the fingerprint information to the corresponding standard fingerprint information. If consistent, the initial communication signal is generated, and the fingerprint recognition unit is used to put the initial communication. The number is transferred to the data integrated unit; the data integrated unit receives the initial communication signal transmitted by the fingerprint identification unit;
[0076]The handicipated acquisition unit is configured to transmit it to the data accumulation unit and real-time comparison unit when the hand is acquired; the data accumulation unit automatically performs data accumulation operation when the user is entered into the palm information, and the specific operation steps are:
[0077]Step 1: First get the handset information in the palm information, and the hand-print information is acquired multiple times, the number of acquisitions is at least X1, X1 is a preset value; after the information collection processing of step I;
[0078]Step 2: First get the palm information, mark it as a palm picture, get the palm picture group;
[0079]Step 3: Any got a palm picture in a palm picture group;
[0080]Step 4: The highest point acquisition is achieved, the highest point acquisition step is;
[0081]S1: A triplet is acquired from the plane of the door in parallel ground, which is located at a height of the palm;
[0082]S2: Pull the interception line from top to bottom, mark the interception line with the point of the first contact with the five fingers as the line, and labeled the line from the thumb as a line of five;
[0083]S3: Connect the adjacent two line points to get four wirings, get the distance, marked the distance into points to the pointing distance 4, pointing one is between the line points and the line dots Distance, connect the line from one-to-line point five connection to the point;
[0084]S4: The pointing distance to the pointing 5 mark as the finger interval information zi, i = 1 ... 5;
[0085]Step 5: Repeat steps three to step five, get the fingertips information of all palm pictures, marked it as zij, i = 1 ... 5, j = 1 ... m;
[0086]Step 6: Let i = 1;
[0087]Step 7: Get the corresponding Z1J, J = 1 ... m;
[0088]Step 8: Calculate the mean P obtained by Z1J, using the formula to obtain the equivalent value C1J, C1J = Z1J-P; mark the finger information Z1j of the C1J exceeds X2 as filtering information;
[0089]Step Nine: Remove the filter information, then make the remaining fingertip information Z1j to obtain a mean, and mark the value of the mean to correspond to Z1.
[0090]Step 10: Let i = i + 1; Repeat steps seven - Step 10; get the pointing distance to the point to point 5 correspondence SZI, i = 1 ... 5;
[0091]Step 11: After the first time you get the viewing point SZI, a preparation signal is generated;
[0092]Step Twelve: Afterwards, you will repeat each new hand-print information, and add the hand-print information to the data accumulation operation;
[0093]The data accumulation unit is configured to transmit the preparation signal to the real-time alignment unit, the real time comparison unit receives the preparation signal transmitted by the data accumulation unit, the real time comparison unit receives the hand palm information transmitted by the confusing acquisition unit, and Enter the handprint comparison analysis, the handprint comparison analysis is:
[0094]SS01: Gets the user's real-time finger information, labeled the real-time finger between information to ZSI, i = 1 ... 5;
[0095]SS02: Using the formula to seek loss and HC; specific calculation formula is:;
[0096]SS03: When HC is lower than X4, a joint signal is generated;
[0097]The real time comparisal unit is configured to transmit the contact signal to the data integrated unit, and the data integrated unit generates an open signal with the initiation signal and the initial communication signal, the data integrated unit is used to Open the door signal is transmitted to the processor, the processor is used to drive open the door; the processor is further configured to transmit the start signal to the pressure detecting unit when the door signal is detected;
[0098]The pressure detecting unit includes a door pressure sensor disposed between the gates, the door pressure sensor for acquiring the door pressure information received at the door, and when the door is closed, the door pressure information exceeds the preset pressure value, when opening Then be lower than the preset pressure value;
[0099]The pressure detecting unit is configured to transmit the door pressure information and the start signal to the sneaked analysis unit, the sneaked analysis unit receives the door pressure information and the start signal transmitted by the pressure detecting unit, and sneaking the three, specifically:
[0100]S001: Get all acceptable door pressure information and start signals;
[0101]S002: When the door pressure information is received directly to the start signal, a suspect is generated;
[0102]The sneaked analysis unit transmits an alarm signal to the processor when the suspected signal is generated, and the processor receives it to an alarm unit and a smart device when it is subjected to the alarm signal that the analysis unit is transmitted;
[0103]The smart device displays "currently may have illegal sneaked state" when receiving the alarm signal transmitted by the processor; the alarm unit will automatically play an alarm when the alarm signal transmitted by the processor is received. The alarm unit can be buzzer;
[0104]The processor is configured to transmit the door signal to the display unit. When the display unit receives the door-to-door signal transmitted, "Welcome Home" is automatically displayed; the processor is used to transfer the door signal to the timestamp to the storage unit. Store.
[0105]A home door anti-theft system based on artificial intelligence. When working, it will acquire hand palm information through the handline information group and hand print information. The fingerprint information group refers to the fingerprint of five fingers, and the handprint information is user The palm is pressed on the handprint image on the handset acquisition unit; the handset acquisition unit is used to transmit it to the fingerprint recognition unit when the hand palm information is acquired, and the handle acquisition unit is transmitted to the random draw unit when the hand palm information is acquired. When the signal, the random draw unit is automatically entered when the calculation acquisition unit is received, and the calculation analysis is automatically entered, and the correlation algorithm and the rule are automatically determined, which two fingers are verified. Performing a related analysis to further verify the user's identity, then allow the user to enter; and after the user enters the relevant manner to determine if someone else will enter after the authentication is not authenticated; and there is illegal Alert reminder will issue a warning accordingly.
[0106]The above is merely examples and descriptions of the structure of the present invention, and those skilled in the art will do a wide variety of modifications or supplements or use in a similar manner as long as they do not deviate from the structure of the invention or Beyond the scope defined by the claims, it should belong to the scope of the present invention.
