What is claimed is:
1. A system for locating and identifying luggage comprising:
a signaling unit including an electromagnetic signal transmitter electronically coupled to a switch, wherein the signal transmitter generates an electromagnetic signal when the switch is actuated; and
an identifying unit affixed to the luggage including
an electromagnetic signal receiver for receiving the electromagnetic signal from the signaling unit; and
a sound producing element electronically coupled to the signal receiver such that the sound producing element emits an identifying sound following receipt of the electromagnetic signal by the signal receiver.
2. The system of claim 1, wherein the identifying sound comprises a musical tune.
3. The system of claim 1, wherein the identifying unit further includes a light source electronically coupled to the signal receiver such that the light source emits light following receipt of the electromagnetic signal by the signal receiver.
4. The system of claim 3, wherein the light source comprises a light emitting diode.
5. The system of claim 3, wherein the light source intermittently emits light.
6. The system of claim 1, wherein the identifying unit further includes a memory element electronically coupled to the sound producing element, the memory element storing a plurality of sounds; and
a sound selection element electronically coupled to the memory element and to the sound producing element to select one of the plurality of sounds as the identifying sound.
7. A system for locating and identifying luggage comprising:
a signaling unit including an electromagnetic signal transmitter electronically coupled to a switch, wherein the signal transmitter generates an electromagnetic signal when the switch is actuated; and
an identifying unit affixed to the luggage including
an electromagnetic signal receiver for receiving the electromagnetic signal from the signaling unit; and
a light source electronically coupled to the signal receiver such that the light source emits light following receipt of the electromagnetic signal by the signal receiver.
8. The system of claim 7, wherein the light source comprises a light emitting diode.
9. The system of claim 7, wherein the light source intermittently emits light.
10. A system for locating and identifying luggage comprising:
a signaling unit including an electromagnetic signal transmitter electronically coupled to a switch, wherein the signal transmitter generates an electromagnetic signal when the switch is actuated;
at least one piece of luggage; and
an identifying unit affixed to the luggage including
an electromagnetic signal receiver for receiving the electromagnetic signal from the signaling unit; and
a sound producing element electronically coupled to the signal receiver such that the sound producing element emits an identifying sound following receipt of the electromagnetic signal by the signal receiver.
11. The system of claim 10, wherein the identifying sound comprises a musical tune.
12. The system of claim 10, wherein the identifying unit further includes a light source electronically coupled to the signal receiver such that the light source emits light following receipt of the electromagnetic signal by the signal receiver.
13. The system of claim 12, wherein the light source comprises a light emitting diode.
14. The system of claim 12, wherein the light source intermittently emits light.
15. The system of claim 10, wherein the identifying unit further includes
a memory element electronically coupled to the sound producing element, the memory element storing a plurality of sounds; and
a sound selection element electronically coupled to the memory element and to the sound producing element to select one of the plurality of sounds as the identifying sound.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A teaching method of an image recognition apparatus, comprising:
a step of capturing the image of a standard object having a standard conformation among objects to be recognized and extracting a characteristic value from the teacher image of the standard object through image processing;
a step of making a user input the already-known knowledge of a range of fluctuation of objects and other objects and entering the knowledge in a knowledge base;
a step of generating context data in which various attributes which can be objects are described together with their semantics in accordance with the characteristic value extracted from the teacher image of the standard object and the knowledge entered in the knowledge base and entering the context data in the knowledge base; and
a step of extracting an attribute corresponding to the type of a characteristic value used for recognition processing from the context data entered in the knowledge base and generating the teaching data for the recognition processing.
2. The teaching method of the image recognition apparatus according to claim 1, wherein a range of fluctuation due to the individual difference between objects and a range of fluctuation due to the environmental difference at the time of photographing are made to input as the knowledge of a range of fluctuation of objects.
3. The teaching method of the image recognition apparatus according to claim 2, wherein a tolerance for design is made to input as the knowledge of a range of fluctuation due to the individual difference between objects.
4. The teaching method of the image recognition apparatus according to claim 1, wherein an attribute for a standard object is made to input as knowledge.
5. The teaching method of the image recognition apparatus according to claim 1, wherein in the case of context data, various attributes are described by a structurization language.
6. A teaching apparatus of an image recognition apparatus, the teaching apparatus for performing functions comprising:
capturing the image of a standard object having a standard conformation among objects to be recognized and extracting a characteristic value from the teacher image of the standard object through image processing,
making a user input the already-known knowledge of a range of fluctuation of objects and other objects and entering the knowledge in a knowledge base,
generating the context data in which various attributes which can be objects are described together with their semantics in accordance with a characteristic value extracted from the teacher image of the standard object and the knowledge entered in the knowledge base and entering the context data in the knowledge base, and
extracting an attribute corresponding to the type of a characteristic value used for recognition processing from the context data entered in the knowledge base and generating the teaching data for the recognition processing.
7. The teaching apparatus of the image recognition apparatus according to claim 6, wherein a range of fluctuation due to the individual difference between objects and a range of fluctuation due to the environmental difference at the time of photographing area made to input as the knowledge of a range of fluctuation of objects.
8. The teaching apparatus of the image recognition apparatus according to claim 7, wherein a tolerance for design is made to input as the knowledge of a range of fluctuation due to the individual difference between objects.
9. The teaching apparatus of the image recognition apparatus according to claim 6, wherein an attribute for a standard object is made to input as knowledge.
10. The teaching apparatus of the image recognition apparatus according to claim 6, wherein in the case of context data, various attributes are described by a structurization language.
11. A teaching program of an image recognition apparatus for making a computer execute processing functions comprising:
processing for capturing the image of a standard object having a standard conformation among objects to be recognized and extracting a characteristic value from the teacher image of the standard object through image processing;
processing for making a user input the already-known knowledge of a range of fluctuation of objects and other objects and entering the knowledge in a knowledge base;
processing for generating the context data in which various attributes which can be objects are described together with their semantics in accordance with a characteristic value extracted from the teacher image of the standard object and the knowledge entered in the knowledge base and entering the context data in the knowledge base; and
processing for extracting an attribute corresponding to the type of a characteristic value used for recognition processing for the context data entered in the knowledge base and generating the teaching data for the recognition processing.
12. An image recognition method comprising:
a step of capturing the image of a standard object having a standard conformation among object to be recognized and extracting a characteristic value from the teacher image of the standard object through image processing;
a step of making a user input the already-known knowledge of a range of fluctuation of objects and other objects and entering the knowledge in a knowledge base;
a step of generating the context data in which various attributes which can be objects are described together with their semantics in accordance with a characteristic value extracted from the teacher image of the standard object and the knowledge entered in the knowledge base and entering the context data in the knowledge base;
a step of extracting an attribute corresponding to the type of a characteristic value used for recognition processing from the context data entered in the knowledge base and generating the teaching data for the recognition processing;
a teaching stage for storing the generated teaching data in a teaching data storage device;
a step of capturing the image of a work and extracting a characteristic value from the image of the work through image processing; and
an image recognition stage for executing recognition processing in accordance with the teaching data read from the teaching data storage device and the extracted characteristic value and determining whether the work is an object.
13. The image recognition method according to claim 12, wherein when failing in recognition at an image recognition stage,
work context data for defining various attributes of the work is generated from the characteristic value of the extracted work,
image processing is applied to the image of the work in accordance with the difference between attributes of the generated context data and the context data for an object entered in a knowledge base, and
recognition processing is executed in accordance with an image-processed work image.
14. The image recognition method according to claim 12, wherein when a correct determination result is not obtained at an image recognition stage,
work context data for defining various attributes of an extracted work is generated from the characteristic value of the work,
an attribute capable of correctly determining a work is selected in accordance with the difference between attributes of the generated work context data and the context data for an object entered in a knowledge base,
a recognition logic capable of executing recognition processing is searched by using a characteristic value corresponding to the selected attribute from a plurality of recognition logics usable for recognition processing, and
teaching data for the searched recognition logic is generated.
15. The image recognition method according to claim 14, wherein when a recognition logic capable of executing recognition processing by using a characteristic value corresponding to a selected attribute is not searched, the content is communicated to a user.
16. The image recognition method according to claim 15, wherein when a recognition logic capable of executing recognition processing by using a characteristic value corresponding to a selected attribute is not searched, the specification of a recognition logic to be added is communicated in accordance with the selected attribute.
17. An image recognition apparatus comprising:
a teaching apparatus for performing functions comprising
capturing the image of a standard object having a standard conformation among objects to be recognized and extracting a characteristic value from the teacher image of the standard object through image processing,
making a user enter the already-known knowledge of a range of fluctuation of objects and other objects and entering the knowledge in a knowledge base,
generating context data in which various attributes which can be objects are described together with their semantics in accordance with a characteristic value extracted from the teacher image of the standard object and the knowledge entered in the knowledge base and entering the context data in the knowledge base,
extracting an attribute corresponding to the type of a characteristic value used for recognition processing from the context data entered in the knowledge base and generating the teaching data for the recognition processing, and
storing the generated teaching data in a teaching data storage device; and
an image recognition device for performing functions comprising
capturing the image of a work and extracting a characteristic value from the image of the work through image processing,
executing recognition processing in accordance with the teaching data read from the teaching data storage device and the extracted characteristic value, and
determining whether the work is an object.
18. The image recognition apparatus according to claim 17,
wherein an image recognition device generates the work context data for defining various attributes of an extracted work in accordance with the characteristic value of the work,
applies image processing to the image of the work in accordance with the difference between attributes of the generated context data and the context data for an object entered in a knowledge base, and
executes recognition processing in accordance with an image-processed work image.
19. The image recognition apparatus according to claim 17,
wherein an image recognition device has a plurality of recognition logics usable for recognition processing,
generates the work context data for defining various attributes of an extracted work from the characteristic value of the work,
selects an attribute capable of correctly determining the work in accordance with the difference between attributes of the generated work context data and the context data of an object entered in a knowledge base,
searching a recognition logic capable of executing recognition processing by using a characteristic value corresponding to the selected attribute, and
makes a teaching device generate the teaching data for the searched recognition logic.
20. The image recognition apparatus according to claim 19,
wherein when a recognition logic capable of executing recognition processing by using a characteristic value corresponding to a selected attribute is not searched, an image recognition device communicates the content to a user.
21. The image recognition apparatus according to claim 20,
wherein when a recognition logic capable of executing recognition processing by using a characteristic value corresponding to a selected attribute is not searched, an image recognition device communicates the specification of a recognition logic to be added in accordance with the selected attribute.
22. An image recognition program for making a computer execute processing functions comprising:
teaching processing comprising
capturing the image of a standard object having a standard conformation among objects to be recognized and extracting a characteristic value from the teacher image of the standard object through image processing,
making a user input the already-known knowledge of a range of fluctuation of objects and other objects and entering the knowledge in a knowledge base,
generating context data in which various attributes which can be objects are described together with their semantics in accordance with the characteristic value extracted from the teacher image of the standard object and the knowledge entered in the knowledge base,
extracting an attribute corresponding to the type of a characteristic value used for recognition processing from the context data entered in the knowledge base and generating the teaching data for the recognition processing, and
storing the generated teaching data in a teaching data storage device, and
image recognition processing comprising
capturing the image of a work and extracting a characteristic value from the image of the work,
executing recognition processing in accordance with the teaching data read from the teaching data storage device and the extracted characteristic value and
determining whether the work is an object.
23. The teaching method of the image recognition apparatus according to claim 2, wherein an attribute for a standard object is made to input as knowledge.
24. The teaching method of the image recognition apparatus according to claim 3, wherein an attribute for a standard object is made to input as knowledge.
25. The teaching method of the image recognition apparatus according to claim 2, wherein in the case of context data, various attributes are described by a structurization language.
26. The teaching method of the image recognition apparatus according to claim 3, wherein in the case of context data, various attributes are described by a structurization language.
27. The teaching method of the image recognition apparatus according to claim 4, wherein in the case of context data, various attributes are described by a structurization language.
28. The teaching apparatus of the image recognition apparatus according to claim 7, wherein an attribute for a standard object is made to input as knowledge.
29. The teaching apparatus of the image recognition apparatus according to claim 8, wherein an attribute for a standard object is made to input as knowledge.
30. The teaching apparatus of the image recognition apparatus according to claim 7, wherein in the case of context data, various attributes are described by a structurization language.
31. The teaching apparatus of the image recognition apparatus according to claim 8, wherein in the case of context data, various attributes are described by a structurization language.
32. The teaching apparatus of the image recognition apparatus according to claim 9, wherein in the case of context data, various attributes are described by a structurization language.
33. The image recognition method according to claim 13, wherein when a correct determination result is not obtained at an image recognition stage,
work context data for defining various attributes of an extracted work is generated from the characteristic value of the work,
an attribute capable of correctly determining a work is selected in accordance with the difference between attributes of the generated work context data and the context data for an object entered in a knowledge base,
a recognition logic capable of executing recognition processing is searched by using a characteristic value corresponding to the selected attribute from a plurality of recognition logics usable for recognition processing, and
teaching data for the searched recognition logic is generated.
34. The image recognition apparatus according to claim 18,
wherein an image recognition device has a plurality of recognition logics usable for recognition processing,
generates the work context data for defining various attributes of an extracted work from the characteristic value of the work,
selects an attribute capable of correctly determining the work in accordance with the difference between attributes of the generated work context data and the context data of an object entered in a knowledge base,
searching a recognition logic capable of executing recognition processing by using a characteristic value corresponding to the selected attribute, and
makes a teaching device generate the teaching data for the searched recognition logic.