CN104484916B - A kind of goods discrepancy safety verification device and method based on image recognition - Google Patents
A kind of goods discrepancy safety verification device and method based on image recognition Download PDFInfo
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- CN104484916B CN104484916B CN201410644787.5A CN201410644787A CN104484916B CN 104484916 B CN104484916 B CN 104484916B CN 201410644787 A CN201410644787 A CN 201410644787A CN 104484916 B CN104484916 B CN 104484916B
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Abstract
The invention discloses a kind of goods discrepancy safety verification device and method based on image recognition, including identity information extraction module, papery document turn electronic documents module, field condition logging modle and remote data storehouse server；Remote data storehouse server in order to store the identity information of Field Force, electronic documents picture, come in and go out manifest number and field condition video file, and with the identity information of Field Force, the picture of electronic documents, video file, the manifest number that comes in and goes out is formed corresponding mapping relations.After consistency operation personnel input the corresponding manifest number that comes in and goes out, and can be according to corresponding mapping relations, the identity information matching corresponding Field Force is checked, and the video file of the corresponding electronic documents of observable and execute-in-place situation, realize the monitoring to the goods that comes in and goes out conveniently and efficiently, once find the abnormal informations such as identity information is incorrect, can notify that on-the-spot related personnel is processed at once, stop to lead by mistake, falsely claim as one's own the situation of goods to occur in time.
Description
Technical field
The present invention relates to a kind of goods discrepancy safety verification device and method based on image recognition.
Background technology
Steel mill storage unit operate at present in can use a lot of invoices and vouchers, comprising: consignment notice, go out to put in storage document, transport list, distribution plan list etc..
And process management all can relate to signature and confirm that identity validation is affixed one's seal and come into force.It is all the circulation being all dependent on papery at present for this part document.Lower certificate and delivery of cargo voucher are also simply simply seen in confirmation to delivery of cargo personnel identity simultaneously.Also traditional inspection mechanism is fully relied on to the on-the-spot supervision of goods.
According to the storage unit management to process circulated documents at present, fully rely on papery document and manual process, be not only not easy to long-term reservation, more cannot quickly review to look into and entangle, also this part data cannot be dissected；And the checking to delivery of cargo personnel identity, thinking traditional especially, the other side shows delivery of cargo voucher even without identity card, it is possible to goods is withdrawn, thus occurs that goods is withdrawn by mistake or has people to pretend to be the delivery of cargo traffic unit of client the generation of situation such as to pick up goods；Of such a size storage is on-the-spot, relies on traditional checking mechanism to ensure the safety of goods and personnel, it is impossible to accomplish to monitor in real time, punctual quick response goods discrepancy situation.
Content of the invention
The present invention provide a kind of based on image recognition, goods can be monitored in real time come in and go out situation and can quickly review and look into the discrepancy goods safety verification device and method entangling.
Goods discrepancy safety verification device based on image recognition of the present invention, including identity information extraction module, papery document turn electronic documents module, field condition logging modle and remote data storehouse server；
Described identity information extraction module includes identity card identifier, first memory and the first control unit, identity card identifier, in order to obtain the identity information of Field Force, its output and the first control unit connect, first control unit is by identity information transmission and stores in the first memory, and is sent to identity information in the server of remote data storehouse by communication module；
Described papery document turns electronic documents module and includes camera head, the second control unit and second memory, camera head, form the electronic documents of picture format in order to shoot papery document, its output and the second control unit connect, after second control unit identifies discrepancy manifest number from electronic documents picture, it by electronic documents and the data transmission of manifest number being stored in second memory of coming in and going out, and is sent to the data of electronic documents and the manifest number that comes in and goes out in the server of remote data storehouse by communication module；
Described field condition logging modle includes recording apparatus, the 3rd control unit and the 3rd memory, recording apparatus, form video file in order to the stock at the scene of shooting with video-corder and the operational circumstances of Field Force, its output and the 3rd control unit connect, 3rd control unit obtains video file transmission and is stored in the 3rd holder, then is sent to video file in the server of remote data storehouse by communication module；
Described remote data storehouse server, in order to store respectively by the identity information of the Field Force that identity information extraction module, papery document turn electronic documents module, field condition logging modle sends over, electronic documents picture, come in and go out manifest number and video file, and with the identity information of Field Force, the picture of electronic documents, video file, the manifest number that comes in and goes out is formed corresponding mapping relations.
Present invention also offers the goods discrepancy safety verification method based on image recognition, comprise the following steps,
Step 1, identity card identifier obtains the identity information of Field Force, and the identity information transmission that identity card identifier is recognized by the first control unit is simultaneously stored in the first memory, and be sent to identity information in the server of remote data storehouse by communication module；
Step 2, camera head shooting papery document forms the electronic documents of picture format, after second control unit identifies discrepancy manifest number from electronic documents picture, it by electronic documents and the data transmission of manifest number being stored in second memory of coming in and going out, and is sent to the data of electronic documents and the manifest number that comes in and goes out in the server of remote data storehouse by communication module；
Step 3, the operational circumstances of the stock at the recording apparatus scene of shooting with video-corder and Field Force forms video file, 3rd control unit obtains video file transmission and is stored in the 3rd holder, then is sent to video file in the server of remote data storehouse by communication module；
Step 4, remote data storehouse server stores respectively by the identity information of the Field Force that identity information extraction module, papery document turn electronic documents module, field condition logging modle sends over, the picture of electronic documents, discrepancy manifest number and video file, and with the identity information of Field Force, the picture of electronic documents, video file, the manifest number that comes in and goes out is formed corresponding mapping relations.
Goods discrepancy safety verification device and method based on image recognition of the present invention, first the ID card information of the operating personnel of scene discrepancy goods is identified by identity card identifier, after identification completes, identity information transmission that identity card identifier is recognized by the first control unit is simultaneously stored in the first memory, and be sent in the server of remote data storehouse by communication module；Camera head shooting papery document forms the electronic documents of picture format, after again the second control unit being identified discrepancy manifest number from electronic documents picture, it by electronic documents and the data transmission of manifest number being stored in second memory of coming in and going out, and is sent in the server of remote data storehouse by communication module；The operational circumstances of the stock at the recording apparatus scene of shooting with video-corder and Field Force forms video file, and the 3rd control unit is obtained video file transmission and is stored in the 3rd holder, then being sent in the server of remote data storehouse by communication module；Remote data storehouse server stores respectively by the identity information of the Field Force that identity information extraction module, papery document turn electronic documents module, field condition logging modle sends over, the picture of electronic documents, discrepancy manifest number and video file, and with the identity information of corresponding Field Force, the picture of electronic documents, video file, the manifest number that comes in and goes out is formed corresponding mapping relations.After consistency operation personnel input the corresponding manifest number that comes in and goes out, and can be according to corresponding mapping relations, the identity information matching corresponding Field Force is checked, and the video file of the corresponding electronic documents of observable and execute-in-place situation, realize the monitoring to the goods that comes in and goes out conveniently and efficiently, once find the abnormal informations such as identity information is incorrect, can notify that on-the-spot related personnel is processed at once, stop to lead by mistake, falsely claim as one's own the situation of goods to occur in time.Additionally rely on cloud database server can preserve related data for a long time, the later stage is facilitated to carry out reviewing to look into entangling to the former on-the-spot goods situation that comes in and goes out, the corresponding manifest number that comes in and goes out of input can transfer electronic documents at that time and live video is analyzed, find the problem, it is to avoid next same situation occurs.
Brief description
Fig. 1 is the structural representation of a kind of goods discrepancy safety verification device based on image recognition of the present invention.
Fig. 2 is the step schematic diagram of a kind of goods discrepancy safety verification method based on image recognition of the present invention.
Detailed description of the invention
Embodiment, a kind of goods discrepancy safety verification device based on image recognition as shown in Figure 1, the identity information of client A is " abc ", when the discrepancy goods manifest number of the papery document of its delivery of cargo is picked up goods for " 123456 ", first extracted by the identity information " abc " to client A for the identity card identifier in identity information extraction module, then the identity information " abc " of the client A extracting is sent to the first controller by identity card identifier, the identity information " abc " of client A is transmitted and is stored in the first holder by the first controller, and be sent in the server of remote data storehouse by communication module；Then papery document turns the electronic documents that picture format is gone in the papery document shooting of client A by the camera head of electronic documents module, again the electronic documents of formation is sent to second controller, after second control unit identifies discrepancy manifest number " 123456 " from electronic documents picture, it by the data transmission of the picture P1 of electronic documents and the manifest number " 123456 " that comes in and goes out and be stored in second memory, and is sent in the server of remote data storehouse by communication module；The on-the-spot operational circumstances of on-the-spot stock and client A is carried out shooting with video-corder formation video file S1 by the recording apparatus of field condition logging modle, and this video file S1 is sent to the 3rd control unit, this video file S1 is stored in the 3rd holder by the 3rd control unit, and is sent in the server of remote data storehouse by communication module；Remote data storehouse server store respectively by identity information extraction module, papery document turn electronic documents module, field condition logging modle sends over the identity information " abc " of client A, the picture P1 of electronic documents, discrepancy manifest number " 123456 " and video file S1, and the identity information " abc " of will come in and go out manifest number " 123456 " and client A, picture P1, the video file S1 of electronic documents form corresponding mapping relations.
After consistency operation personnel input the corresponding manifest number " 123456 " that comes in and goes out, and can be according to corresponding mapping relations, the identity information " abc " matching corresponding Field Force client A is checked, and the video file S1 of observable corresponding electronic documents P1 and execute-in-place situation, realize the monitoring to the goods that comes in and goes out conveniently and efficiently, once find the abnormal informations such as identity information is incorrect, can notify that on-the-spot related personnel is processed at once, stop to lead by mistake, falsely claim as one's own the situation of goods to occur in time.Additionally rely on cloud database server can preserve related data for a long time, the later stage is facilitated to carry out reviewing to look into entangling to the former on-the-spot goods situation that comes in and goes out, the corresponding manifest number that comes in and goes out of input can transfer electronic documents at that time and live video is analyzed, find the problem, it is to avoid next same situation occurs.
Wherein, the second control module also identifies discrepancy ETCD estimated time of commencing discharging T1 from the electronic documents picture P1 of client A, is delivered and stored in discrepancy ETCD estimated time of commencing discharging T1 in second memory, and is sent in the server of remote data storehouse by communication module；Remote data storehouse server stores and is turned, by papery document, the discrepancy ETCD estimated time of commencing discharging T1 that electronic documents module sends over, and with discrepancy manifest number " 123456 ", the identity information " abc " of Field Force, the picture P1 of electronic documents, video file S1, the ETCD estimated time of commencing discharging T1 that comes in and goes out is formed corresponding mapping relations.Consistency operation personnel input discrepancy goods date T1; just can and can be according to corresponding mapping relations; match corresponding Field Force client A identity information " abc ", come in and go out goods electronic documents P1, come in and go out manifest number " 123456 ", site operation personnel discrepancy goods video file S1 observe and check; realize the safety inspection coming in and going out goods rapidly, it is ensured that the safety that goods comes in and goes out.
Claims (4)
1. the goods discrepancy safety verification device based on image recognition, it is characterised in that: include that identity information extraction module, papery document turn electronic documents module, field condition logging modle and remote data storehouse server；
Described identity information extraction module includes identity card identifier, first memory and the first control unit, identity card identifier, in order to obtain the identity information of Field Force, its output and the first control unit connect, first control unit is by identity information transmission and stores in the first memory, and is sent to identity information in the server of remote data storehouse by communication module；
Described papery document turns electronic documents module and includes camera head, the second control unit and second memory, camera head, form the electronic documents of picture format in order to shoot papery document, its output and the second control unit connect, after second control unit identifies discrepancy manifest number from electronic documents picture, it by electronic documents and the data transmission of manifest number being stored in second memory of coming in and going out, and is sent to the data of electronic documents and the manifest number that comes in and goes out in the server of remote data storehouse by communication module；
Described field condition logging modle includes recording apparatus, the 3rd control unit and the 3rd memory, recording apparatus, form video file in order to the stock at the scene of shooting with video-corder and the operational circumstances of Field Force, its output and the 3rd control unit connect, 3rd control unit obtains video file transmission and is stored in the 3rd holder, then is sent to video file in the server of remote data storehouse by communication module；
Described remote data storehouse server, in order to store respectively by the identity information of the Field Force that identity information extraction module, papery document turn electronic documents module, field condition logging modle sends over, electronic documents picture, come in and go out manifest number and video file, and with the identity information of Field Force, the picture of electronic documents, video file, the manifest number that comes in and goes out is formed corresponding mapping relations.
2. the goods discrepancy safety verification device based on image recognition according to claim 1, it is characterized in that: the second control unit also identifies discrepancy ETCD estimated time of commencing discharging from electronic documents picture, it is delivered and stored in discrepancy ETCD estimated time of commencing discharging in second memory, and be sent in the server of remote data storehouse by communication module；Remote data storehouse server stores and is turned, by papery document, the discrepancy ETCD estimated time of commencing discharging that electronic documents module sends over, and with discrepancy manifest number, the identity information of Field Force, the picture of electronic documents, video file, the ETCD estimated time of commencing discharging that comes in and goes out is formed corresponding mapping relations.
3. the goods discrepancy safety verification method based on image recognition, it is characterised in that: comprise the following steps,
Step 1, identity card identifier obtains the identity information of Field Force, and the identity information transmission that identity card identifier is recognized by the first control unit is simultaneously stored in the first memory, and be sent to identity information in the server of remote data storehouse by communication module；
Step 2, camera head shooting papery document forms the electronic documents of picture format, after second control unit identifies discrepancy manifest number from electronic documents picture, it by electronic documents and the data transmission of manifest number being stored in second memory of coming in and going out, and is sent to the data of electronic documents and the manifest number that comes in and goes out in the server of remote data storehouse by communication module；
Step 3, the operational circumstances of the stock at the recording apparatus scene of shooting with video-corder and Field Force forms video file, 3rd control unit obtains video file transmission and is stored in the 3rd holder, then is sent to video file in the server of remote data storehouse by communication module；
Step 4, remote data storehouse server stores respectively by the identity information of the Field Force that identity information extraction module, papery document turn electronic documents module, field condition logging modle sends over, the picture of electronic documents, discrepancy manifest number and video file, and with the identity information of Field Force, the picture of electronic documents, video file, the manifest number that comes in and goes out is formed corresponding mapping relations.
4. the goods discrepancy safety verification method based on image recognition according to claim 3, it is characterized in that: in step 2, second control unit also identifies discrepancy ETCD estimated time of commencing discharging from electronic documents picture, it is delivered and stored in discrepancy ETCD estimated time of commencing discharging in second memory, and be sent in the server of remote data storehouse by communication module；In step 4, remote data storehouse server also stores and is turned, by papery document, the discrepancy ETCD estimated time of commencing discharging that electronic documents module sends over, and with discrepancy manifest number, the identity information of Field Force, the picture of electronic documents, video file, the ETCD estimated time of commencing discharging that comes in and goes out is formed corresponding mapping relations.
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| US20180060813A1 (en) * | 2016-08-23 | 2018-03-01 | Ford Global Technologies, Llc | Autonomous delivery vehicle system |
| CN108171987A (en) * | 2017-12-31 | 2018-06-15 | 齐鲁交通发展集团有限公司烟台分公司 | Green management system and the management method of being open to traffic of highway |
| CN110956229A (en) * | 2018-09-27 | 2020-04-03 | 钰翔环保供应链管理(上海)有限公司 | Method and device for realizing goods safe transaction |
| CN110751439B (en) * | 2019-10-16 | 2023-09-05 | 广州宝钢南方贸易有限公司 | Management device for identifying steel delivery |
| CN111415121B (en) * | 2020-03-31 | 2023-08-22 | 深圳前海微众银行股份有限公司 | Cargo processing method, equipment and storage medium based on epidemic situation protection |
| CN113255467A (en) * | 2021-04-30 | 2021-08-13 | 广州有酱料网络科技有限公司 | Seasoning raw material selling intelligent tracing system |
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| WO2005039174A1 (en) * | 2003-10-20 | 2005-04-28 | Matsushita Electric Industrial Co., Ltd. | Multimedia data recording apparatus, monitor system, and multimedia data recording method |
| CN201590090U (en) * | 2009-08-13 | 2010-09-22 | 上海齐炫信息科技有限公司 | Real-time identifying system for storage delivery goods |
| CN102467703A (en) * | 2010-11-10 | 2012-05-23 | 北京天德世通科技发展有限公司 | Logistics management method, equipment and system based on cloud computing |
| DE102011009739A1 (en) * | 2011-01-28 | 2012-08-02 | Metro Systems Gmbh | Device and method for detecting the inventory of a sales and / or storage facility as well as a warehouse management system equipped therewith |
| CN102096865A (en) * | 2011-02-01 | 2011-06-15 | 武汉理工大学 | Dynamic management method and system for mobile rack automatic warehouse |
| CN102135607B (en) * | 2011-03-01 | 2013-07-17 | 国网电力科学研究院武汉南瑞有限责任公司 | Automatic calibration line and method for intelligent type low-tension current transformers |
| CN202126704U (en) * | 2011-06-30 | 2012-01-25 | 上海良友（集团）有限公司 | Wireless network storage and logistics system |
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| CN103559746B (en) * | 2013-10-15 | 2015-09-16 | 济南金钟电子衡器股份有限公司 | Grain goes out to put in storage access control system and method |
| CN103500394A (en) * | 2013-10-28 | 2014-01-08 | 苏州大学 | Unattended operation logistics distribution and goods picking method and system |
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