[특허]Methods and systems for detecting cracks in electronic devices

Methods and systems for detecting cracks in electronic devices 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06T-007/00 G06T-007/60 G01N-021/88 G06T-007/13
출원번호	US-0130851 (2016-04-15)
등록번호	US-10127647 (2018-11-13)
발명자 / 주소	Forutanpour, Babak Ploetner, Jeffrey
출원인 / 주소	ecoATM, LLC
대리인 / 주소	Perkins Coie LLP
인용정보	피인용 횟수 : 0 인용 특허 : 88

초록 ▼

Systems and methods for detecting cracks in an electronic device are disclosed. In one embodiment, the method includes receiving an image of a front side of a mobile device and automatically identifying edges in the image. For given edges among the identified edges, the method includes determining whether another edge among the identified edges is present within a predetermined distance of the given edge. Next, straight line segments corresponding to the edges for which another edge is within the predetermined distance are identified, and then a crack evaluation assessment is assigned to the mobile device based at least in part on the identified straight line segments.

대표청구항 ▼

1. A method performed by one or more computing devices for detecting cracks in an electronic device, the method comprising: receiving an image of an electronic device;automatically identifying a plurality of edges in the image;for individual edges among the identified edges, determining whether another edge among the identified edges is present within a predetermined distance of each of the individual edges;automatically identifying straight line segments corresponding to the individual edges for which another edge is within the predetermined distance; andevaluating a condition of the electronic device based at least in part on the number of identified straight line segments. 2. The method of claim 1 wherein: automatically identifying the straight line segments includes applying a Hough line transform to the edges for which another edge is within the predetermined distance, andevaluating a condition of the electronic device includes assigning the crack evaluation assessment based at least in part on a result of applying the Hough line transform. 3. The method of claim 1 wherein determining, respectively, whether another edge among the identified edges is present within the predetermined distance comprises: for a given point along an individual edge among the identified edges: determining whether another edge among the identified edges is present within a first predetermined distance along a first axis; anddetermining whether another edge among the identified edges is present within a second predetermined distance along a second axis orthogonal to the first axis. 4. The method of claim 1 wherein automatically identifying the edges comprises applying a Canny edge detector to the image. 5. The method of claim 1 wherein the image is of a screen and a non-screen portion of the electronic device, and wherein the method further comprises applying a first filter to the screen portion and applying a second filter to the non-screen portion before automatically identifying the edges. 6. The method of claim 1 wherein the predetermined distance is not more than about 1.5 mm. 7. The method of claim 1 wherein evaluating a condition of the electronic device comprises calculating a number of pixels in the image that are included in the identified straight line segments. 8. The method of claim 1, further comprising determining a value for the electronic device based on the evaluated condition of the electronic device. 9. A method performed by one or more computing devices for detecting cracks in an electronic device, the method comprising: receiving an image of an electronic device;automatically identifying a plurality of edges in the image;automatically determining whether individual edges among the identified edges are within a pre-selected proximity to other individual edges among the identified edges; andassessing the condition of the electronic device based at least in part on the number of the edges within the pre-selected proximity to other edges. 10. The method of claim 9 wherein, in assessing the condition of the electronic device, the edges not within the pre-selected proximity to other edges have no weight. 11. The method of claim 9 wherein automatically determining whether individual edges among the identified edges are within a pre-selected proximity to other individual edges among the identified edges comprises: for an individual edge among the identified edges: determining whether another edge among the identified edges is present within a first predetermined distance along a first axis;determining whether another edge among the identified edges is present within a second predetermined distance along a second axis orthogonal to the first axis; andif another edge among the identified edges is present within the first predetermined distance along the first axis or within the second predetermined distance along the second axis, then indicating that the individual edge is within the pre-selected proximity to the other edge. 12. The method of claim 11 wherein the first predetermined distance is not more than about 1.5 mm. 13. The method of claim 9 wherein assessing the electronic device comprises calculating a number of pixels in the image that are included in the individual edges that are within the pre-selected proximity to other individual edges. 14. A method performed by one or more computing devices for detecting cracks in an electronic device, the method comprising: receiving an image of an electronic device;automatically identifying one or more edges in the image;identifying edge-to-non-edge-to-edge groupings among the identified edges; andassessing the condition of the electronic device based at least in part on the identified edge-to-non-edge-to-edge groupings, wherein, in the assessment, the edges in the identified edge-to-non-edge-to-edge groupings have greater weight than other edges among the identified edges. 15. The method of claim 14 wherein identifying edge-to-non-edge-to-edge groupings comprises: for an individual edge among the identified edges: determining whether another edge among the identified edges is present within a first predetermined distance along a first axis; anddetermining whether another edge among the identified edges is present within a second predetermined distance along a second axis orthogonal to the first axis. 16. The method of claim 14, wherein assessing the condition of the electronic device comprises calculating a number of pixels in the image that are included in the identified edge-to-non-edge-to-edge groupings. 17. A computer-readable memory carrying computer-executable instructions for causing one or more processors to facilitate detecting cracks in an electronic device, the computer-executable instructions comprising instructions that, when executed by the one or more processors: receive an image of an electronic device;automatically identify edges in the image;for individual edges among the identified edges, determine whether another edge among the identified edges is present within a predetermined distance of the individual edge;automatically identify straight line segments corresponding to the edges for which another edge is within the predetermined distance; andevaluate a condition of the electronic device based at least in part on the identified straight line segments. 18. The computer-readable memory of claim 17 wherein the computer-executable instructions, when executed by the one or more processors: automatically identify the straight line segments at least in part by applying a Hough line transform to the edges for which another edge is within the predetermined distance; andevaluate the condition of the electronic device at least in part by assigning a crack evaluation assessment based at least in part on a result of applying the Hough line transform. 19. The computer-readable memory of claim 17 wherein the computer-executable instructions, when executed by the one or more processors, determine, respectively, whether another edge among the identified edges is present within the predetermined distance of an individual edge among the identified edges at least in part by: for a given point along the individual edge: determining whether another edge among the identified edges is present within a first predetermined distance along a first axis; anddetermining whether another edge among the identified edges is present within a second predetermined distance along a second axis orthogonal to the first axis. 20. The computer-readable memory of claim 17 wherein the computer-executable instructions, when executed by the one or more processors, automatically identify the straight line segments at least in part by applying a Canny edge detector to the image. 21. The computer-readable memory of claim 17 wherein the computer-executable instructions, when executed by the one or more processors, assign the crack evaluation assessment based at least in part on a number of pixels in the image that are included in the identified straight line segments.

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IPC	Description
A	생활필수품
A62	인명구조; 소방(사다리 E06C)
A62B	인명구조용의 기구, 장치 또는 방법(특히 의료용에 사용되는 밸브 A61M 39/00; 특히 물에서 쓰이는 인명구조 장치 또는 방법 B63C 9/00; 잠수장비 B63C 11/00; 특히 항공기에 쓰는 것, 예. 낙하산, 투출좌석 B64D; 특히 광산에서 쓰이는 구조장치 E21F 11/00)
A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표IPC 관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 공고번호, 공고일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표출원인, 출원인국적, 출원인주소, 발명자, 발명자E, 발명자코드, 발명자주소, 발명자 우편번호, 발명자국적, 대표IPC, IPC코드, 요약, 미국특허분류, 대리인주소, 대리인코드, 대리인(한글), 대리인(영문), 국제공개일자, 국제공개번호, 국제출원일자, 국제출원번호, 우선권, 우선권주장일, 우선권국가, 우선권출원번호, 원출원일자, 원출원번호, 지정국, Citing Patents, Cited Patents
저장형식	Text(ASCII format) Excel format PIAS분석(.xls)
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

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Methods and systems for detecting cracks in electronic devices 원문보기

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Methods and systems for detecting cracks in electronic devices 원문보기

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