CN201153280Y - Mobile phone having traffic light recognition function - Google Patents
Mobile phone having traffic light recognition function Download PDFInfo
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- CN201153280Y CN201153280Y CNU2008200031194U CN200820003119U CN201153280Y CN 201153280 Y CN201153280 Y CN 201153280Y CN U2008200031194 U CNU2008200031194 U CN U2008200031194U CN 200820003119 U CN200820003119 U CN 200820003119U CN 201153280 Y CN201153280 Y CN 201153280Y
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Abstract
The utility model discloses a mobile phone with red and green light identifying function, which comprises an image identifying device used for identifying red and green lights, the image identifying device comprises an image acquisition module, an image sample module, an image judgment module, a voice sample module and a voice reporting and reading module which are connected in sequence, wherein, the image acquisition module sends an acquired image to the image sample module, the image sample module sends pigment information and data information extracted from the image to the image judgment module, the image judgment module sends red and greed light information extracted from the pigment information and the data information to the voice sample module, and the voice sample module sends a sample matched with the red and green light information to the voice reporting and reading module. The adoption of the mobile phone satisfies the demands of the people with visual impairment, to ensure the safe travel of the people with visual impairment.
Description
Technical field
The utility model relates to a kind of portable terminal, in particular, relates to a kind of mobile phone with traffic lights recognition function.
Background technology
At present, the whole world has 1.8 hundred million blind person, and also there is blind person more than 900 ten thousand in China.Because eyes cannot see, blind person's action has just had very big restriction, and this makes that their go off daily is very difficult, for the traffic of present confusion, and go into the street the separately behavior of a kind of danger especially of blind person.Equally, cause the faint people of eyesight for those by eye disease, trip also is breakneck separately.
For most blind person, generally going out the provisional capital is to select oneself the most familiar highway section, select oneself the most familiar crossing when going across the road, wait for that traffic lights also are requisite in the daily life for the blind person, but the blind person can't see concrete traffic lights situation, general is not to pass through under others' help, and and then others swarms and mistake exactly.
Equally, the little weak person of eyesight can be easy more than the blind person for the location positioning of traffic lights, but but can't see the content of concrete traffic lights; As protanopia anerythrochloropsia, the problem of facing is roughly similar with the little weak person of eyesight, because be hard to tell red greenly, so basic resolution does not go out the content of concrete traffic lights, also just can not arbitraryly go on a journey.Generally speaking, people's safety trip of vision disorder being arranged is a big problem.
If allow the blind person and have the amblyope of eye disease can be at traffic intersection, know the state of current traffic lights and concrete content, allow the protanopia anerythrochloropsia patient can remove the resolution traffic lights, bring very big facility will for like this their trip, the trip security row also can improve greatly.
Mobile phone is as a kind of instrument that is convenient for people to communicate by letter, become indispensable requisites in the daily life, if cell-phone function is extended, make it carry the multiple function that is suitable for people with visual impairment, so promptly make things convenient for people with visual impairment to carry, ensured their trip safety again, but the mobile phone with such function did not occur also on the market.
Summary of the invention
The technical problems to be solved in the utility model provides a kind of mobile phone with traffic lights recognition function, has satisfied the demand of people with visual impairment, has ensured their trip safety.
In order to address the above problem, the technical solution of the utility model is as follows:
A kind of mobile phone with traffic lights recognition function, comprise: be provided with the pattern recognition device that is used for traffic lights identification, pattern recognition device comprises the image capture module that is connected successively, the image pattern module, the image judge module, speech samples module and voice reporting read through model, image capture module sends to the image pattern module with the image that collects, pigment information and data message that the image pattern module is extracted from image send to the image judge module, the traffic lights information that the image judge module will extract from pigment information and data message sends to the speech samples module, and the sample that the speech samples module will be mated traffic lights information sends to the voice reporting read through model.
Preferably, described mobile phone is bar phone, folding cell phone, slide phone or lettering pen mobile phone.
Preferably, described mobile phone is provided with the shortcut that enters image identification function.
Preferably, the voice reporting read through model sends to sample on the loud speaker or the earphone of mobile phone.
Preferably, store the lights state value in the voice reporting read through model.
The beneficial effects of the utility model:
Adopt the technical scheme that the utility model proposed, under the prerequisite that increases mobile phone physics cost hardly, utilize the shooting camera function of regular handset, increase and be suitable for looking the common function that the barrier user uses, carrying of vision disorder user not only conveniently arranged, and guaranteed safety in when trip, increased more practicality again for mobile phone.
Description of drawings
Fig. 1 is an image acquiring apparatus structural representation in the utility model;
Fig. 2 is a course of work flow chart of the present utility model.
Embodiment
The utility model makes full use of various forms of mobile phones such as plate rolls, folding machine, slip lid machine, lettering pen, the camera that uses mobile phone itself to carry, by pattern recognition device traffic lights being carried out image extracts, carry out real-time analysis by the module in the pattern recognition device again, and the state of current traffic lights is entered for synchronously.
By pattern recognition device being installed in handset, utilize software to realize spectrum and digit recognition function, perhaps directly use the spectrum identification module, judge this indicator light current be red light or green light; The mode that image extracts and analyzes is varied.The implementation that enters for is directly read by loud speaker, also can enter for by earphone.
Below in conjunction with accompanying drawing the technical solution of the utility model is elaborated.
As shown in Figure 1, a kind of mobile phone with traffic lights recognition function, pattern recognition device with traffic lights recognition function is set on mobile phone, and pattern recognition device comprises image capture module 11, image pattern module 12, image judge module 13, speech samples module 14 and the voice reporting read through model 15 that is connected successively.Image capture module 11 is provided with camera, by the camera collection image.
Do explanation in this function to each module.
As shown in Figure 2, be course of work flow chart of the present utility model, with reference to the accompanying drawings course of work stream of the present utility model elaborated.
Step S101: the camera that the user uses mobile phone itself to carry enters image identification function by other buttons on mobile phone side key or the mobile phone;
Step S102: 11 pairs of traffic lights images that obtain by camera of image capture module extract, the present image that extracts is carried out real-time judge, judge whether to comprise required traffic lights information, if having, then image is effective, transfers in the image pattern module 12 as image pattern; If do not comprise required traffic lights image, the prompting user changes angle and extracts again, till obtaining correct traffic lights information;
Step S103: image judge module 13 carries out the identification of color according to pigment information, extracts the traffic lights pigment information in the present image sample;
Step S104: for the stand-by period in the traffic lights change procedure, time in 13 pairs of traffic lights conversions of image judge module is carried out data identification, carry out closing of image collecting function, start mobile phone countdown function simultaneously, treat that timing finishes and restart image identification function, so just can save the operating current of mobile phone.
Step S105: the sample in traffic lights pigment information of extracting and the speech samples module 14 is mated, the sample that matches is reached voice reporting read through model 15, enter for synchronously, flow process finishes.
Voice reporting read through model 15 is realized entering for by loud speaker or earphone.
The utility model also can directly use spectrum identification module alternative image acquisition module 11 and image pattern module 12, the traffic lights result that the spectrum identification module is identified is sent to image judge module 13, through image judge module 13 sample in judged result and the speech samples module 14 is mated, the sample that matches is reached voice reporting read through model 15, enter for synchronously, flow process finishes.
Because the state of traffic lights is not a lot, need all lights state values of input in voice reporting read through model 14 in advance, after judging current lights state, voice reporting read through model 14 can select suitable speech samples to export therein.
As the blind person is situation that can't see the outside, so for the position of the concrete highway section traffic lights that he was familiar with, he can only be the notion that Position Approximate is arranged.In order to prevent that the blind person from can't judge that the situation of traffic lights particular location occurs, institute's image acquisition process is carried out the prompting that voice enter for, because the state of traffic lights all is fix several, form is not a lot, the form that these are all is all made different samples, when function is opened, carry out any one complete image that whether contains in the current image that collects in these samples in the software, can adopt mode of comparing one by one, if the data that do not photograph traffic lights or photographed are not complete traffic lights information, mobile phone can carry out voice suggestion " data are not right, no traffic lights information "; Perhaps prompting " the traffic lights INFORMATION OF INCOMPLETE is please extracted data again ".At this time the blind person can adjust the position according to information, takes pictures again, extracts data again, obtains the traffic lights position of entirely accurate up to him, collects complete traffic lights information.
Claims (5)
1, a kind of mobile phone with traffic lights recognition function, it is characterized in that, be provided with the pattern recognition device that is used for traffic lights identification, described pattern recognition device comprises the image capture module that is connected successively, the image pattern module, the image judge module, speech samples module and voice reporting read through model, described image capture module sends to described image pattern module with the image that collects, pigment information that described image pattern module is extracted from described image and data message send to described image judge module, the traffic lights information that described image judge module will extract from described pigment information and data message sends to described speech samples module, and the sample that described speech samples module will be mated described traffic lights information sends to described voice reporting read through model.
2, mobile phone as claimed in claim 1 is characterized in that: described mobile phone is bar phone, folding cell phone, slide phone or lettering pen mobile phone.
3, mobile phone as claimed in claim 1 is characterized in that: described mobile phone is provided with the shortcut that enters image identification function.
4, mobile phone as claimed in claim 1 is characterized in that: described voice reporting read through model sends to described sample on the loud speaker or the earphone of mobile phone.
5, mobile phone as claimed in claim 1 is characterized in that: store the lights state value in the described voice reporting read through model.
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CNU2008200031194U CN201153280Y (en) | 2008-01-28 | 2008-01-28 | Mobile phone having traffic light recognition function |
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CNU2008200031194U CN201153280Y (en) | 2008-01-28 | 2008-01-28 | Mobile phone having traffic light recognition function |
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101908271A (en) * | 2010-06-28 | 2010-12-08 | 青岛海信网络科技股份有限公司 | Signal lamp color identification method and device |
CN101950478A (en) * | 2010-08-24 | 2011-01-19 | 宇龙计算机通信科技(深圳)有限公司 | Method, system and mobile terminal for prompting traffic light status information |
CN101964114A (en) * | 2010-09-16 | 2011-02-02 | 浙江吉利汽车研究院有限公司 | Auxiliary traffic light recognition system for anerythrochloropsia drivers |
CN102739848A (en) * | 2011-04-14 | 2012-10-17 | 上海三旗通信科技股份有限公司 | Mobile phone for assistance recognition of achromate and method |
CN102792316A (en) * | 2010-01-22 | 2012-11-21 | 谷歌公司 | Traffic signal mapping and detection |
CN101615253B (en) * | 2008-06-27 | 2012-12-05 | 范钦雄 | System and method for instantly identifying file contents |
CN104268508A (en) * | 2014-09-15 | 2015-01-07 | 济南大学 | Portable traffic light distinguishing method for color blindness and color amblyopia people |
CN102785645B (en) * | 2012-04-20 | 2017-05-31 | 中兴通讯股份有限公司 | A kind of method and terminal for judging traffic lights |
US9707960B2 (en) | 2014-07-31 | 2017-07-18 | Waymo Llc | Traffic signal response for autonomous vehicles |
CN112489466A (en) * | 2020-11-27 | 2021-03-12 | 恒大新能源汽车投资控股集团有限公司 | Traffic signal lamp identification method and device |
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2008
- 2008-01-28 CN CNU2008200031194U patent/CN201153280Y/en not_active Expired - Lifetime
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101615253B (en) * | 2008-06-27 | 2012-12-05 | 范钦雄 | System and method for instantly identifying file contents |
CN102792316A (en) * | 2010-01-22 | 2012-11-21 | 谷歌公司 | Traffic signal mapping and detection |
CN101908271B (en) * | 2010-06-28 | 2013-01-09 | 青岛海信网络科技股份有限公司 | Signal lamp color identification method and device |
CN101908271A (en) * | 2010-06-28 | 2010-12-08 | 青岛海信网络科技股份有限公司 | Signal lamp color identification method and device |
CN101950478A (en) * | 2010-08-24 | 2011-01-19 | 宇龙计算机通信科技(深圳)有限公司 | Method, system and mobile terminal for prompting traffic light status information |
CN101964114A (en) * | 2010-09-16 | 2011-02-02 | 浙江吉利汽车研究院有限公司 | Auxiliary traffic light recognition system for anerythrochloropsia drivers |
CN101964114B (en) * | 2010-09-16 | 2013-02-27 | 浙江吉利汽车研究院有限公司 | Auxiliary traffic light recognition system for anerythrochloropsia drivers |
CN102739848A (en) * | 2011-04-14 | 2012-10-17 | 上海三旗通信科技股份有限公司 | Mobile phone for assistance recognition of achromate and method |
CN102785645B (en) * | 2012-04-20 | 2017-05-31 | 中兴通讯股份有限公司 | A kind of method and terminal for judging traffic lights |
US10377378B2 (en) | 2014-07-31 | 2019-08-13 | Waymo Llc | Traffic signal response for autonomous vehicles |
US9707960B2 (en) | 2014-07-31 | 2017-07-18 | Waymo Llc | Traffic signal response for autonomous vehicles |
US10005460B2 (en) | 2014-07-31 | 2018-06-26 | Waymo Llc | Traffic signal response for autonomous vehicles |
US11279346B2 (en) | 2014-07-31 | 2022-03-22 | Waymo Llc | Traffic signal response for autonomous vehicles |
US11970160B2 (en) | 2014-07-31 | 2024-04-30 | Waymo Llc | Traffic signal response for autonomous vehicles |
CN104268508A (en) * | 2014-09-15 | 2015-01-07 | 济南大学 | Portable traffic light distinguishing method for color blindness and color amblyopia people |
CN112489466A (en) * | 2020-11-27 | 2021-03-12 | 恒大新能源汽车投资控股集团有限公司 | Traffic signal lamp identification method and device |
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