CN109064682B - Method for improving infrared legacy detection accuracy based on dynamic reference correction algorithm - Google Patents
Method for improving infrared legacy detection accuracy based on dynamic reference correction algorithm Download PDFInfo
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- CN109064682B CN109064682B CN201810762824.0A CN201810762824A CN109064682B CN 109064682 B CN109064682 B CN 109064682B CN 201810762824 A CN201810762824 A CN 201810762824A CN 109064682 B CN109064682 B CN 109064682B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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Abstract
The invention relates to a method for improving the accuracy of infrared legacy detection based on a dynamic reference correction algorithm.
Description
Technical Field
The invention relates to the field of infrared detection, in particular to a method for improving the accuracy of infrared legacy detection based on a dynamic reference correction algorithm.
Background
The receipt cabinet is used as a common user receipt self-service receiving device, the core function of the receipt cabinet is that a business hall correspondingly stores the receipt which is required to be received by a client into a drawer of the receipt cabinet according to the user number, and the user can input the user number and the password to receive the receipt. Greatly improving the efficiency of issuing and receiving the receipt. It is widely used in business halls such as bank, electric power and post office.
Because the user often can not in time take out the receipt from the receipt cabinet, the condition that a plurality of receipts are to be received can appear in the drawer of the receipt cabinet. Often, a user will have a leave on receipt when retrieving a receipt. Therefore, the receipt cabinet is required to have a receipt leaving detection function, and a user is timely reminded of missed receipts.
The receipt leaving detection generally adopts an infrared correlation detection method, a pair of receiving and transmitting tubes are installed on each drawer, and the existence of the receipt is judged through the highest value of the signal intensity. In order to improve the space utilization rate of the receipt cabinet and reduce the cost, one row of drawers reuse the same group of infrared detection units. However, the infrared signals detected by each drawer are large in difference and easy to be influenced by the environment in such a way, so that the accuracy of detection is greatly reduced, and the use experience of the equipment is influenced.
Disclosure of Invention
The invention aims to overcome the defects and provides a method for improving the accuracy of infrared legacy detection based on a dynamic reference correction algorithm.
The invention achieves the aim through the following technical scheme: a method for improving the accuracy of infrared legacy detection based on a dynamic reference correction algorithm comprises the following steps:
(1) detecting the shielding condition by using an infrared receiving and transmitting device: an infrared emitting diode is adopted to emit an infrared signal, an infrared receiving tube receives the infrared signal, and whether the receipt is left in the drawer or not is judged by detecting the shielding between the receiving tube and the emitting tube;
(2) converting the detected infrared light signal into a voltage signal through a receiving diode, and converting the voltage signal into a digital signal through AD/DA conversion;
(3) respectively carrying out statistical analysis on signal curves in the shielding state and the non-shielding state to obtain the maximum difference characteristics of the two curves, namely curve rising and falling slopes and curve rising and falling lengths;
(4) calculating the slope and length characteristics of the curve, and dynamically correcting the judgment reference according to the historical correct sample, wherein the method specifically comprises the following steps:
(4.1) calculating a signal intensity F (A) corresponding to an initial point A from a drawer closing instruction, calculating a signal intensity F (A +5) corresponding to a +5 point, and calculating a signal intensity difference DeltaF between the point A and the point A +5, namely DeltaF is F (A +5) -F (A); comparing the difference value delta F with a reference value M, if-10 < deltaF-M >10, counting once, and adding 1 to the variable CONT; after the calculation is finished, the sampling point A is increased by 1, and (A +1) +5 are calculated in sequence; (a +2) and (a +2) +5.. until the closing of the entire drawer is completed, thus calculating the points of the entire curve;
(4.2) when CONT is greater than 80, judging that the drawer is empty, and if CONT is less than 80, judging that the receipt is left over; after the result is judged, initializing CONT to be 0;
(4.3) the dynamic correction method of the reference value M is as follows: setting an accumulation variable M1, and when-10 <. DELTA.F-M >10, M1 is M1 +. DELTA.F; setting a statistical variable M2, and when-10 < DELTAF-M >10, M2 is M2+ 1; when M2 is 10000, the reference value is corrected to M1/M2.
Preferably, the infrared transceiver can be placed up and down or left and right as required.
Preferably, the signal sampling rate is 250 times/second, 8-bit binary represents the voltage value of the sampling point, the maximum voltage value is 3.3V, and the corresponding sampling value is 255.
Factors that influence the signal profile preferably include consistency of mass production of the product, the environment in which the product is used, and aging of the product.
The invention has the beneficial effects that: (1) the accuracy of infrared receipt and leave-behind detection judgment is improved, and better user experience is achieved; (2) the induction distance of infrared pairs for shielding is increased, so that the single returning equipment can reuse one pair of infrared devices for the whole row of drawers, and the cost and the space are saved.
Drawings
FIG. 1 is a schematic diagram of the present invention based on an infrared transceiver to detect receipt leaving;
FIG. 2 is a graph of a typical signal with a receipt left in an embodiment of the present invention;
fig. 3 is a typical signal plot for an embodiment of the present invention without leave-on receipt.
Detailed Description
The invention will be further described with reference to specific examples, but the scope of the invention is not limited thereto:
example (b): a method for improving the accuracy of infrared legacy detection based on a dynamic reference correction algorithm comprises the following steps:
(1) as shown in fig. 1, based on the fact that the infrared transceiver detects the shielding condition of the round holes of the drawers, a whole row of drawers reuse a pair of infrared transceivers: an infrared emitting diode is adopted to emit an infrared signal, an infrared receiving tube receives the infrared signal, and whether the receipt is left in the drawer or not is judged by detecting the shielding between the receiving tube and the emitting tube; the infrared receiving and transmitting device can be placed up and down or left and right as required; wherein, when detecting the condition of sheltering from in 3CM hole, can draw the distance between transmitting tube and the access pipe far to 150CM, detect the exactness and be greater than 99.99%, consequently can be used to detect whether the receipt of a whole row of drawer is left over.
(2) The detected infrared light signal is converted into a voltage signal through a receiving diode, and the voltage signal is converted into a digital signal through AD/DA conversion, wherein the sampling rate is 250 times/second, 8-bit binary represents the voltage value of a sampling point, the maximum voltage value is 3.3V, and the corresponding sampling value is 255.
(3) As shown in FIG. 2, the signal curve of the shielding state of the drawer hole is analyzed, i.e. the receipt state exists. There is a sharp wave interference signal and a gentle fluctuation as shown by the ABCD points. The drawer aperture is remote from the emitter tube and is lifted entirely by the thread due to diffraction effects.
(4) As shown in fig. 3, the signal curve of the non-blocking state of the drawer hole, i.e. the non-receipt state, is analyzed. The curve rises and falls with a relatively constant slope and length as shown by the ABCD points. The drawer aperture is remote from the launch tube and the curve is generally downward due to the reduced energy transmitted through the drawer aperture.
Among the factors that influence the signal curve are: the consistency of mass production of products, the use environment of the products and the aging of the products.
(5) Through the statistical analysis of the large samples of the signal curves with the receipt state and the signal curves without the receipt state, the maximum difference characteristics of the two curves are the rising slope and the falling slope of the curves and the rising length and the falling length of the curves. The slope and length characteristics of the curve are extracted by the following method, and the judgment reference is dynamically corrected according to the historical correct sample of the equipment.
(6) And calculating the difference value delta F between the signal intensity F (A) corresponding to the initial point A and the signal intensity F (A +5) corresponding to the point A +5 from the drawer closing instruction, comparing the difference value delta F with the reference value M, counting once if the difference value delta F is-10 < [ delta F-M >10, and adding 1 to the variable CONT. After one-time calculation is finished, the sampling point A is increased by 1 in an increasing way, and the point A +1 is calculated discontinuously
(7) Sequentially calculating (A +1) and (A +1) + 5; (a +2) with (a +2) + 5.; until the closing of the whole drawer is finished. Thereby calculating the points of the entire curve.
(8) And when CONT is greater than 80, the drawer is judged to be empty. CONT <80 determines that there is a receipt left. After the result is determined, the initialization CONT is 0
(9) The dynamic correction method of the reference value M is as follows: setting an accumulation variable M1, and when-10 <. DELTA.F-M >10, M1 is M1 +. DELTA.F; setting a statistical variable M2, and when-10 < DELTAF-M >10, M2 is M2+ 1; when M2 is 10000, the reference value is corrected to M1/M2.
While the invention has been described in connection with specific embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (4)
1. A method for improving the accuracy of infrared legacy detection based on a dynamic reference correction algorithm is characterized by comprising the following steps:
(1) detecting the shielding condition by using an infrared receiving and transmitting device: an infrared emitting diode is adopted to emit an infrared signal, an infrared receiving tube receives the infrared signal, and whether the receipt is left in the drawer or not is judged by detecting the shielding between the receiving tube and the emitting tube;
(2) converting the detected infrared light signal into a voltage signal through a receiving diode, and converting the voltage signal into a digital signal through AD/DA conversion;
(3) respectively carrying out statistical analysis on signal curves in the shielding state and the non-shielding state to obtain the maximum difference characteristics of the two curves, namely curve rising and falling slopes and curve rising and falling lengths;
(4) calculating the slope and length characteristics of the curve, and dynamically correcting the judgment reference according to the historical correct sample, wherein the method specifically comprises the following steps:
(4.1) calculating a signal intensity F (A) corresponding to an initial point A from a drawer closing instruction, calculating a signal intensity F (A +5) corresponding to a +5 point, and calculating a signal intensity difference DeltaF between the point A and the point A +5, namely DeltaF is F (A +5) -F (A); comparing the difference value delta F with a reference value M, if-10 < deltaF-M >10, counting once, and adding 1 to the variable CONT; after the calculation is finished, the sampling point A is increased by 1, and (A +1) +5 are calculated in sequence; (a +2) and (a +2) +5.. until the closing of the entire drawer is completed, thus calculating the points of the entire curve;
(4.2) when CONT is greater than 80, judging that the drawer is empty, and if CONT is less than 80, judging that the receipt is left over; after the result is judged, initializing CONT to be 0;
(4.3) the dynamic correction method of the reference value M is as follows: setting an accumulation variable M1, and when-10 <. DELTA.F-M >10, M1 is M1 +. DELTA.F; setting a statistical variable M2, and when-10 < DELTAF-M >10, M2 is M2+ 1; when M2 is 10000, the reference value is corrected to M1/M2.
2. The method for improving the accuracy of infrared legacy detection based on the dynamic reference correction algorithm according to claim 1, wherein: the infrared receiving and transmitting device can be placed up and down or left and right according to the requirement.
3. The method for improving the accuracy of infrared legacy detection based on the dynamic reference correction algorithm according to claim 1, wherein: the sampling rate of the voltage signal is 250 times/second, 8-bit binary represents the voltage value of a sampling point, the maximum voltage value is 3.3V, and the corresponding sampling value is 255.
4. The method for improving the accuracy of infrared legacy detection based on the dynamic reference correction algorithm according to claim 1, wherein: factors that affect the signal profile include consistency of the product batch production, the environment in which the product is used, and aging of the product.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201514675U (en) * | 2009-08-28 | 2010-06-23 | 成都三泰电子实业股份有限公司 | Electronic receipt device |
| CN202422299U (en) * | 2011-12-21 | 2012-09-05 | 深圳市奥拓电子股份有限公司 | Receipt cabinet system |
| CN103309521A (en) * | 2013-05-27 | 2013-09-18 | 广东威创视讯科技股份有限公司 | Method and system for determining infrared data sampling time |
| CN105741413A (en) * | 2015-08-05 | 2016-07-06 | 深圳怡化电脑股份有限公司 | Depositing and withdrawing device, dynamic correction sensor thereof, correction method and device |
| CN206322282U (en) * | 2016-12-27 | 2017-07-11 | 成都三泰铭品金融信息服务有限公司 | A kind of Bank Return Bill Box Management System |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103617671B (en) * | 2013-12-12 | 2016-08-17 | 广州广电运通金融电子股份有限公司 | The recognition methods of a kind of thickness abnormity banknote and system |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201514675U (en) * | 2009-08-28 | 2010-06-23 | 成都三泰电子实业股份有限公司 | Electronic receipt device |
| CN202422299U (en) * | 2011-12-21 | 2012-09-05 | 深圳市奥拓电子股份有限公司 | Receipt cabinet system |
| CN103309521A (en) * | 2013-05-27 | 2013-09-18 | 广东威创视讯科技股份有限公司 | Method and system for determining infrared data sampling time |
| CN105741413A (en) * | 2015-08-05 | 2016-07-06 | 深圳怡化电脑股份有限公司 | Depositing and withdrawing device, dynamic correction sensor thereof, correction method and device |
| CN206322282U (en) * | 2016-12-27 | 2017-07-11 | 成都三泰铭品金融信息服务有限公司 | A kind of Bank Return Bill Box Management System |
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Denomination of invention: A method to improve the accuracy of infrared legacy detection based on dynamic benchmark correction algorithm Effective date of registration: 20210121 Granted publication date: 20201002 Pledgee: Hangzhou High-tech Financing Guarantee Co.,Ltd. Pledgor: HANGZHOU TIANKUAN TECHNOLOGY Co.,Ltd. Registration number: Y2021330000077 |