Author: claimsbot

1. A method for attending to a supply of product at a position on a store shelf, comprising:
receiving an electronic image of the position on a store shelf;
comparing the electronic image to a previous electronic image of the position on the store shelf; and
generating an indication to attend to the supply of product at the position on the store shelf based on the analysis.
2. The method of claim 1, further comprising receiving the previous electronic image of the position on the store shelf.
3. The method of claim 2, wherein receiving the previous electronic image comprises capturing the previous electronic image in response to receiving a user command or input from a sensor that detects a condition, and wherein receiving the electronic image of the position on the store shelf comprises capturing the electronic image in response to receiving a user command or input from a sensor that detects a condition.
4. The method of claim 3 wherein the user command or input from a sensor that detects a condition is based on at least one of date, time of day, motion detection, temperature detection, a state of the supply of product at the position on the store shelf as indicated in an electronic representation of the supply of product on the store shelf in the electronic image, and a label or code on the product or on the store shelf at the position of the product on the store shelf.
5. The method of claim 1, wherein comparing the electronic image to a previous electronic image comprises detecting whether there is a difference between an electronic representation of the supply of product on the store shelf in the electronic image compared to an electronic representation of the supply of product on the store shelf in the previous electronic image.
6. The method of claim 5, wherein the comparison detects one of: the supply of product on the store shelf is at or below a minimum threshold supply of product on the store shelf, the supply of product on the store shelf includes an incorrect or misplaced product, and the supply of product is askew or otherwise is out of arrangement.
7. The method of claim 6, wherein generating an indication to attend to a supply of product at the position on the store shelf based on the analysis comprises generating the indication when there is a difference between an electronic representation of the supply of product on the store shelf in the electronic image compared to an electronic representation of the supply of product on the store shelf in the previous electronic image.
8. The method of claim 7, further comprising:
receiving at an end user device the indication to attend to a supply of product at the position on the store shelf;
transmitting from the end user device an acknowledgment in response to receiving the indication;
resetting the indication in response to receiving the acknowledgment.
9. The method of claim 8, wherein transmitting an acknowledgment in response to receiving the indication comprises transmitting an acknowledgment that the supply of the product at the position on the store shelf has been attended to or not.
10. A system for attending to a supply of product at a position on a store shelf, comprising:
an electronic image capture device to capture and transmit an electronic image of the position on a store shelf;
a processor executing video analytic software coupled to the electronic image capture device to receive the electronic image and compare the electronic image to a previous electronic image of the position on the store shelf and generate an indication to attend to the supply of product at the position on the store shelf based on the analysis.
11. The system of claim 10 further comprising a communications interface coupled to the electronic image capture device via which to transmit the electronic image.
12. The system of claim 10, wherein the electronic image captured device further to capture and transmit the previous electronic image of the position on the store shelf.
13. The system of claim 10, further comprising a sensor coupled to the electronic image capture device to cause the device to capture the electronic image in response to the sensor detecting a condition, wherein the condition comprises one of date, time of day, detection of motion, and detection of temperature.
14. The system of claim 10, wherein the processor executing video analytic software to compare the electronic image to a previous electronic image of the position on the store shelf comprises the processor to detect whether there is a difference between an electronic representation of the supply of product on the store shelf in the electronic image compared to an electronic representation of the supply of product on the store shelf in the previous electronic image.
15. The system of claim 10 wherein the processor further to:
receive an acknowledgment in response to generating the indication; and
reset the indication in response to receiving the acknowledgment.
16. At least one machine readable medium comprising a plurality of instructions that in response to being executed on a computing device, cause the computing device to:
receive a first electronic image of the position on a store shelf;
receive a second electronic image of the position on a store shelf;
compare the second electronic image to the first electronic image of the position on the store shelf; and
generate an indication to attend to the supply of product at the position on the store shelf based on the analysis.
17. The at least one machine readable medium of claim 16, wherein receiving the first and second electronic images comprise capturing the images in response to receiving a user command or input from a sensor that detects a condition, wherein the user command or input from a sensor that detects a condition is based on at least one of date, time of day, motion detection, temperature detection, and a state of the supply of product at the position on the store shelf.
18. The at least one machine readable medium of claim 16, wherein the comparison detects one of: the supply of product on the store shelf is at or below a minimum threshold supply of product on the store shelf, the supply of product on the store shelf includes an incorrect or misplaced product, and the supply of product is askew or otherwise is out of arrangement.

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. An image processing apparatus comprising:
a coefficient correction unit to correct only a high frequency coefficient situated adjacent to a tile boundary of an encoded image data divided into non-overlapping tiles;
wherein the high frequency coefficient is corrected during a process of decoding the encoded image data.
2. An image processing apparatus comprising:
a coefficient correction unit to correct a first high frequency coefficient situated adjacent to a tile boundary of an encoded image data divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
wherein the first and second high frequency coefficients are corrected during a process of decoding the encoded image data;
wherein the coefficient correction unit is operable to adaptively exclude the second high frequency coefficient from the correction according to the number of quantization steps of the second high frequency coefficient.
3. The image processing apparatus as claimed in claim 2, wherein the coefficient correction unit adaptively excludes the second high frequency coefficient from the correction when the number of the quantization steps of the second high frequency coefficient is no greater than a predetermined value.
4. An image processing apparatus comprising:
a coefficient correction unit to correct a first high frequency coefficient situated adjacent to a tile boundary of an encoded image data divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
wherein the first and second high frequency coefficients are corrected during a process of decoding the encoded image data;
wherein the coefficient correction unit is operable to adaptively exclude the second high frequency coefficient from the correction according to the value of the second high frequency coefficient.
5. The image processing apparatus as claimed in claim 4, wherein the coefficient correction unit adaptively excludes the second high frequency coefficient from the correction when the value of the second high frequency coefficient is 0.
6. An image processing apparatus comprising:
a coefficient correction unit to correct a first high frequency coefficient situated adjacent to a tile boundary of an encoded image data divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
wherein the first and second high frequency coefficients are corrected during a process of decoding the encoded image data;
wherein the coefficient correction unit is operable to adaptively exclude the second high frequency coefficient from the correction according to the value of the second high frequency coefficient and the number of quantization steps of the second high frequency coefficient.
7. The image processing apparatus as claimed in claim 6, wherein the coefficient correction unit adaptively excludes the second high frequency coefficient from the correction when the number of quantization steps of the second high frequency coefficient is no greater than a predetermine value and when the value of the second high frequency coefficient is 0.
8. An image processing apparatus comprising:
a coefficient correction unit to correct high frequency coefficients, the coefficient correction unit being operable in a first correction mode for correcting only a first high frequency coefficient situated adjacent to a tile boundary of an encoded image data divided into non-overlapping tiles, and in a second correction mode for correcting a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary; and
a correction mode designating unit to designate the correction mode of the coefficient correction unit;
wherein the first and second high frequency coefficients are corrected during a process of decoding the encoded image data;
wherein the coefficient correction unit is operable to selectively execute the correction mode designated by the correction mode designating unit.
9. The image processing apparatus as claimed in claim 8, wherein the coefficient correction unit adaptively excludes the second high frequency coefficient from the correction in the second correction mode according to the number of quantization steps of the second high frequency coefficient.
10. The image processing apparatus as claimed in claim 8, wherein the coefficient correction unit adaptively excludes the second high frequency coefficient from the correction in the second correction mode according to the value of the second high frequency coefficient.
11. The image processing apparatus as claimed in claim 8, wherein the coefficient correction unit adaptively excludes the second high frequency coefficient from the correction in the second correction mode according to the value of the second high frequency coefficient and the number of quantization steps of the second high frequency coefficient.
12. The image processing apparatus as claimed in claim 1, wherein the encoded image data is encoded by hierarchically conducting frequency transformation on each tile, wherein the coefficient correction unit is operable to correct the high frequency coefficient belonging to a predetermined hierarchy level.
13. The image processing apparatus as claimed in claim 1, wherein the encoded image data is encoded by conducting wavelet transformation on each tile.
14. The image processing apparatus as claimed in claim 1, wherein the encoded image data is encoded with JPEG 2000.
15. An image processing method comprising:
correcting only a high frequency coefficient situated adjacent to a tile boundary of an encoded image data divided into non-overlapping tiles;
wherein the high frequency coefficient is corrected during a process of decoding the encoded image data.
16. An image processing method comprising:
correcting a first high frequency coefficient situated adjacent to a tile boundary of an encoded image data divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
wherein the first and second high frequency coefficients are corrected during a process of decoding the encoded image data;
wherein the second high frequency coefficient is adaptively excluded from correction, when correcting the first and second frequency coefficients, according to at least one of the number of quantization steps of the second high frequency coefficient and the value of the second high frequency coefficient.
17. A recording medium on which a program for causing a computer to execute an image processing method is recorded, the image processing method comprising:
correcting only a high frequency coefficient situated adjacent to a tile boundary of an encoded image data divided into non-overlapping tiles;
wherein the high frequency coefficient is corrected during a process of decoding the encoded image data.
18. A recording medium on which a program for causing a computer to execute an image processing method is recorded, the image processing method comprising:
correcting a first high frequency coefficient situated adjacent to a tile boundary of an encoded image data divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
wherein the first and second high frequency coefficients are corrected during a process of decoding the encoded image data;
wherein the second high frequency coefficient is adaptively excluded from correction, when correcting the first and second frequency coefficients, according to at least one of the number of quantization steps of the second high frequency coefficient and the value of the second high frequency coefficient.
19. An image processing apparatus comprising:
a coefficient correction unit to correct a first high frequency coefficient situated adjacent to a tile boundary of an encoded frame data of a moving image divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary, the first and second high frequency coefficients being corrected during a process of decoding the encoded frame data;
a movement amount estimation unit to estimate a movement amount of each frame; and
a correction control unit to control the correction of the coefficient control unit so that the second high frequency coefficient is excluded from the correction according to the estimated movement amount estimated by the movement estimation unit and the number of quantization steps of the second high frequency coefficient.
20. The image processing apparatus as claimed in claim 19, wherein the correction control unit excludes the second high frequency coefficient from the correction when the number of quantization steps is no greater than a threshold th1, wherein the correction control unit is operable to change the threshold th1 according to the estimated movement amount.
21. The image processing apparatus as claimed in claim 19, wherein in a case where the estimated movement amount exceeds a predetermined value, the correction control unit excludes the second high frequency coefficient from the correction, wherein in a case where the estimated movement amount is no greater than the predetermined value, the correction control unit excludes the second high frequency coefficient from the correction when the number of quantization steps of the second high frequency coefficient is no greater than a predetermined value.
22. An image processing apparatus comprising:
a coefficient correction unit to correct a first high frequency coefficient situated adjacent to a tile boundary of an encoded frame data of a moving image divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary, the first and second high frequency coefficients being corrected during a process of decoding the encoded frame data;
a movement amount estimation unit to estimate a movement amount of each frame; and
a correction control unit to control the correction of the coefficient control unit so that the second high frequency coefficient is excluded from the correction according to the estimated movement amount estimated by the movement estimation unit and the value of the second high frequency coefficient.
23. The image processing apparatus as claimed in claim 22, wherein in a case where the estimated movement amount exceeds a predetermined value, the correction control unit is operable to exclude the second high frequency coefficient from the correction, wherein in a case where the estimated movement amount is no greater than the predetermined value, the correction control unit excludes the second high frequency coefficient from the correction when the value of the second high frequency coefficient is 0.
24. An image processing apparatus comprising:
a coefficient correction unit to correct a first high frequency coefficient situated adjacent to a tile boundary of an encoded frame data of a moving image divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary, the first and second high frequency coefficients being corrected during a process of decoding the encoded frame data;
a movement amount estimation unit to estimate a movement amount of each frame; and
a correction control unit to control the correction of the coefficient control unit so that the second high frequency coefficient is excluded from the correction according to the estimated movement amount estimated by the movement estimation unit, the number of quantization steps of the second high frequency coefficient and the value of the second high frequency coefficient.
25. The image processing apparatus as claimed in claim 24, wherein the correction control unit excludes the second high frequency coefficient from the correction when the number of quantization steps is no greater than a threshold th1 and when the value of the second high frequency coefficient is 0, wherein the correction control unit is operable to change the threshold th1 according to the estimated movement amount.
26. The image processing apparatus as claimed in claim 25, wherein in a case where the estimated movement amount is no less than a predetermined value, the correction control unit is operable to exclude the second high frequency coefficient from the correction, wherein in a case where the estimated movement amount is less than the predetermined value, the correction control unit excludes the second high frequency coefficient from the correction when the number of quantization steps of the second high frequency coefficient is no greater than a predetermined value and when the value of the second high frequency coefficient is 0.
27. The image processing apparatus as claimed in claim 19, wherein the encoded frame data is encoded by hierarchically conducting frequency transformation on each tile, wherein the coefficient correction unit is operable to correct the high frequency coefficient belonging to a predetermined hierarchy level.
28. The image processing apparatus as claimed in claim 19, wherein the encoded frame data is encoded by conducting wavelet transformation on each tile of each frame.
29. The image processing apparatus as claimed in claim 19, wherein the encoded frame data is encoded with JPEG 2000.
30. An image processing method comprising:
a) correcting a first high frequency coefficient situated adjacent to a tile boundary of an encoded frame data of a moving image divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary, the first and second high frequency coefficients being corrected during a process of decoding the encoded frame data;
b) estimating a movement amount of each frame; and
c) controlling correction when correcting coefficients so that the second high frequency coefficient is excluded from the correction according to the estimated movement amount and the number of quantization steps of the second high frequency coefficient.
31. An image processing method comprising:
a) correcting a first high frequency coefficient situated adjacent to a tile boundary of an encoded frame data of a moving image divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
b) estimating a movement amount of each frame; and
c) controlling correction when correcting coefficients so that the second high frequency coefficient is excluded from the correction according to the estimated movement amount and the value of the second high frequency coefficient.
32. An image processing method comprising:
a) correcting a first high frequency coefficient situated adjacent to a tile boundary of an encoded frame data of a moving image divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
b) estimating a movement amount of each frame; and
c) controlling correction when correcting coefficients so that the second high frequency coefficient is excluded from the correction according to the estimated movement amount, the number of quantization steps of the second high frequency coefficient, and the value of the second high frequency coefficient.
33. A recording medium on which a program for causing a computer to execute an image processing method is recorded, the image processing method comprising:
a) correcting a first high frequency coefficient situated adjacent to a tile boundary of an encoded frame data of a moving image divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
b) estimating a movement amount of each frame; and
c) controlling correction when correcting coefficients so that the second high frequency coefficient is excluded from the correction according to the estimated movement amount and the number of quantization steps of the second high frequency coefficient.
34. A recording medium on which a program for causing a computer to execute an image processing method is recorded, the image processing method comprising:
a) correcting a first high frequency coefficient situated adjacent to a tile boundary of an encoded frame data of a moving image divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
b) estimating a movement amount of each frame; and
c) controlling correction when correcting coefficients so that the second high frequency coefficient is excluded from the correction according to the estimated movement amount and the value of the second high frequency coefficient.
35. A recording medium on which a program for causing a computer to execute an image processing method is recorded, the image processing method comprising:
a) correcting a first high frequency coefficient situated adjacent to a tile boundary of an encoded frame data of a moving image divided into non-overlapping tiles, and a second high frequency coefficient situated in the vicinity of but not adjacent to the tile boundary;
b) estimating a movement amount of each frame; and
c) controlling correction when correcting coefficients so that the second high frequency coefficient is excluded from the correction according to the estimated movement amount, the number of quantization steps of the second high frequency coefficient, and the value of the second high frequency coefficient.

1. A method of enabling a service instance to be applied to an MPLS network, the method comprising the steps of:
exchanging routing advertisements by network elements in the MPLS network to enable the network elements to have a synchronized view of a topology of the MPLS network;
advertising, by a first MPLS network element on the MPLS network, a domain-wide unique service identifier in one of the routing advertisements; and
locally calculating, by a second MPLS network element from the second MPLS network element’s synchronized view of the topology of the MPLS network, whether to install MPLS label forwarding state for the service identifier by determining whether the MPLS network element is on a shortest path tree rooted at the first MPLS network element, the MPLS label forwarding state being locally calculated by the second MPLS network element and including a first computed label to be used by the second MPLS network element to forward traffic on the shortest path tree to a destination, the MPLS label forwarding state further including at least a second computed label that a MPLS neighbor network element will use when forwarding traffic to on the shortest path tree to the destination.
2. The method of claim 1, wherein the domain-wide unique service identifier is a domain-wide unique network element node identifier.
3. The method of claim 2, wherein the node identifier is a domain-wide unique MPLS label.
4. The method of claim 3, wherein the domain-wide unique MPLS label may be used to forward unicast traffic to the first network element on the MPLS network.
5. The method of claim 4, wherein, if the second MPLS network element installs forwarding state for the service identifier, the second MPLS network element will install forwarding state for the domain-wide unique MPLS label such that any packet received by the second MPLS network element containing the domain-wide unique MPLS label will be forwarded toward the first MPLS network element.
6. The method of claim 1, wherein the first computed label is a domain-wide unique MPLS label that may be used to forward traffic associated with the service instance.
7. The method of claim 6, wherein the domain-wide unique MPLS label is a unicast label associated with the destination on the MPLS network.
8. The method of claim 6, wherein the domain-wide unique MPLS label is a multicast label associated with a source of the multicast.
9. The method of claim 1, wherein the MPLS labels are calculated in a deterministic manner.
10. The method of claim 1, wherein the step of calculating whether to install MPLS forwarding state includes determining whether the same service identifier has been advertised by a third MPLS network element on the MPLS network and if so, determining whether the second MPLS network element is on a forwarding path between the first MPLS network element and the third MPLS network element.
11. The method of claim 10, wherein the third network element is multicast source associated with the service identifier, and wherein the first network element is a multicast subscriber associated with the service identifier.
12. The method of claim 10, wherein the forwarding path is a shortest path between the first MPLS network element and the third MPLS network element.
13. A method of enabling a service instance to be applied to an MPLS network, the method comprising the steps of:
advertising, by a subset of the MPLS network elements on the MPLS network, interest in a multicast service instance, the multicast service instance being a domain-wide unique value;
selectively installing, by each of the other network elements on the MPLS network, MPLS label forwarding state for the multicast service instance, if the other network element is on a shortest path between two network elements advertising common interest in the same multicast service instance;
wherein, at each of the other network elements that installs MPLS label forwarding state, the MPLS label forwarding state is locally calculated by the network element that is installing MPLS forwarding state, and the MPLS label forwarding state includes a first computed label to be used by the network element that is installing MPLS forwarding state to forward traffic associated with the multicast service instance, the MPLS label forwarding state further including at least a second computed label that a MPLS neighbor network element will use when forwarding traffic associated with the multicast service instance;
wherein the step of advertising is implemented via a link state routing system in use on the MPLS network.
14. The method of claim 13, wherein the MPLS forwarding state includes a domain-wide unique label associated with the service instance.
15. The method of claim 13, wherein the MPLS forwarding state is deterministically calculated by each of the network elements of the MPLS network.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1-19. (canceled)
20. A fixing device for a seat belt retractor for attachment to a vehicle part, comprising:
a seat belt retractor housing having a housing plate, wherein the housing plate has at least one fixing opening for receiving a screw connection engaging the vehicle part in a fixing opening formed thereon, wherein the seat belt retractor housing is rotatably disposed relative to the fixing opening of the vehicle part, so that the seat belt retractor is oriented automatically in a direction of a force of a belt which moves at an angle with respect to an axis of a shaft of the seat belt retractor; and
a holder part, wherein the seat belt retractor housing is rotatably held on the holder part wherein the holder part is fixedly connected with the vehicle part wherein the seat belt retractor housing is held by means of the holder part at a distance to the fixing opening wherein the seat belt retractor housing is fixed to the holder part in such a way that the seat belt retractor housing is rotatable relative to the holder part in a direction opposite to a pre-set resistance.
21. The fixing device according to claim 20, wherein the holder part is formed as a flat part with an opening for guiding through of an attachment means, wherein the attachment means serves to attach the holder part to the vehicle part, and wherein the holder part has a further opening for rotatable attachment of the seat belt retractor housing to the holder part.
22. The fixing device according to claim 21, wherein attachment of the seat belt retractor housing to the holder part takes place by means of a rivet penetrating the further opening of the holder part and the fixing opening of the housing plate of the seat belt retractor housing.
23. The fixing device according to claim 21, wherein the holder part rests on the flat housing plate of the seat belt retractor housing provided with the fixing opening.
24. The fixing device according to claim 21, wherein the housing plate of the seat belt retractor housing provided for connection of the holder part has an off-set region for receiving an associated end of the holder part, and wherein the off-set region, together with the outer edges of the holder part, form a limitation for rotational movement of the seat belt retractor housing relative to the holder part.
25. The fixing device according to claim 21, wherein the holder part has a fixing shoulder projecting at an angle from the holder part, wherein the fixing shoulder is insertable into a further opening formed in the vehicle part.
26. The fixing device according to claim 20, wherein the holder part comprises a collar screw that penetrates through the fixing opening of the housing plate of the seat belt retractor housing, wherein the collar screw is fixed with an end threading in the fixing opening of the vehicle part, wherein the collar screw has a collar and a screw head, wherein the collar braces against the vehicle part, wherein the seat belt retractor housing sits, via the fixing opening, on the collar of the collar screw and is held by means of the screw head, and wherein a pre-stressed spring element is arranged on the collar of the collar screw between the vehicle part and the seat belt retractor housing.
27. The fixing device according to claim 26, wherein the spring element comprises a plate spring.
28. The fixing device according to claim 20, wherein the holder part is a U-shaped component having U-plates, wherein said U-plates include a plurality of openings, wherein said U-shaped component is attachable onto the housing plate having the fixing opening, wherein the U-shaped component accommodates the housing plate between the U-plates, whereby the openings in the U-plates of the holder part are flush with the fixing opening of the housing plate, wherein one of the U-plates of the holder part, upon mounting of the seat belt retractor onto the vehicle part, rests between the vehicle part and the housing plate.
29. The fixing device according to claim 28, further comprising a fixing nut that can be screwed via a fixing screw into the fixing opening formed in the vehicle part, wherein the fixing screw is a collar nut having a collar, wherein a height of the collar corresponds to a material thickness of the housing plate of the seat belt retractor housing inclusive of a material thickness of the U-plate of the holder part lying between the vehicle part and the housing plate.
30. The fixing device according to claim 28, wherein an intermediate space is formed by the U-plate of the holder part lying between the vehicle part and housing plate of the seat belt retractor housing, and wherein a spring element is disposed in the intermediate space.
31. The fixing device according to claim 30, wherein the spring element is formed as a plate spring.
32. The fixing device according to claim 28, wherein projections are formed on the U-plate of the holder part facing away from the vehicle part, wherein said projections at least partially surround the opening formed therein, and wherein said projections serve as a mounting holder and anti-twist device for a fixing nut.
33. The fixing device according to claim 28, wherein on the U-plate of the holder part facing away from the vehicle part, a fixing nut is fixedly mounted to be oriented with the opening formed thereon.
34. The fixing device according to claim 28, wherein the holder part has a fixing shoulder projecting from the holder part at an angle for engagement in an associated further opening of the vehicle part.
35. The fixing device according to claim 34, wherein the holder part penetrates the housing plate of the seat belt retractor in an associated further recess via the fixing shoulder.
36. The fixing device according to claim 20, wherein the holder part comprises metal, wherein a fixing nut is provided on the holder part, and wherein the fixing nut is formed as a weld nut that is fixedly connected with the holder part.
37. The fixing device according to claim 20, wherein the holder part comprises plastic, wherein a fixing nut is provided on the holder part, and wherein the fixing nut is connected as one piece with the holder part.
38. The fixing device according to claim 20, wherein the holder part comprises a collar nut with a collar, wherein the collar nut penetrates through the fixing opening of the housing plate via the collar and wherein the collar nut can be screwed onto a fixing screw anchored on the vehicle part, wherein the collar abuts the vehicle part or the fixing screw, wherein the seat belt retractor housing sits rotatably with the fixing opening on the collar of the collar nut, and
further comprising a holding sheet, wherein the holding sheet is disposed on a side of the housing plate facing away from the vehicle part and is held on the collar of the collar nut, wherein said holding sheet engages through an associated further recess in the housing plate via a fixing shoulder projecting from the holding sheet at an angle, wherein said fixing shoulder can be fixedly, non-rotatably disposed in a further opening formed in the vehicle part, and further comprising a tongue, wherein the seat belt retractor housing, by means of the tongue projecting into the recess and guided through an aperture formed in the fixing shoulder, is fixed relative to the holding sheet, wherein under a load, the seat belt retractor housing is rotatable as a result of deformation of the tongue engaging through the fixing shoulder.