IMAGE READING DEVICE, ABNORMALITY DETECTION METHOD, PROGRAM, AND DISCHARGE ABNORMALITY DETECTION DEVICE
Patent Information
- Application Number
- JP2022074634
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2022-04-28
- Publication Date
- 2025-03-06
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing image reading devices fail to detect abnormalities in ejected documents, leading to poor retrieval performance and increased effort in organizing documents due to issues like document replacement, disturbance, curling, and alignment deterioration in the stacker.
An image reading device equipped with a document transport unit, photographing unit, and abnormality detection section that analyzes image data to detect abnormalities such as document replacement, disturbance, curling, and alignment issues, and notifies users to minimize disturbances.
The device effectively detects and notifies users of document abnormalities, maintaining document order and reducing the effort required to correct disturbances in the stacker.
Smart Images
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Abstract
Description
[Technical Field]
[0001] The present invention relates to an image reading device, an abnormality detection method, and a program. [Background technology]
[0002] For example, Patent Document 1 discloses a stacker device for a continuous paper electrophotographic device, characterized in that the stacker device is located outside the electrophotographic device and has a function of returning paper to the correctly stacked portion when the stacker device detects a paper jam. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Patent Publication No. 2004-250202 Summary of the Invention [Problem to be solved by the invention]
[0004] An object of the present invention is to provide an image reading device that detects abnormalities in a discharged document. [Means for solving the problem]
[0005] The image reading device of the present invention has a document transport unit that discharges a document that has undergone image reading processing, a photographing unit that photographs the area where the document is discharged by the document transport unit, and an abnormality detection unit that detects abnormalities in the document discharge based on image data photographed by the photographing unit.
[0006] Preferably, the image forming apparatus further comprises a notification section that, when an abnormality is detected by the abnormality detection section, notifies a user that an abnormality has been detected or the position of the page where the abnormality occurred during continuous scanning.
[0007] Preferably, the abnormality detection section detects an abnormality in document discharge based on image data read by the image reading process and image data photographed by the photographing section.
[0008] Preferably, the photographing section photographs the area where the document is discharged at a timing when the moving speed of the document discharged by the document transport section becomes equal to or less than a reference value.
[0009] Preferably, the device further includes a printing unit that prints identification information on the document on which the image reading process is performed, and the abnormality detection unit detects an abnormality in the document discharge based on the identification information contained in the image data captured by the photographing unit.
[0010] Preferably, the abnormality detection unit detects a change in the order of documents stacked in the area where the documents are discharged as an abnormality, and further has a transport control unit that stops the continuous transport of documents by the document transport unit when an abnormality is detected by the abnormality detection unit.
[0011] Preferably, the device further includes a document tray onto which the document is discharged by the document transport unit and a marker formed on the surface of the document tray, and the abnormality detection unit detects an abnormality in the document discharge based on whether or not the marker is present in the image data captured by the imaging unit.
[0012] Preferably, the image forming apparatus further comprises a transport control unit that reduces the speed at which the document is discharged by the document transport unit when the abnormality detection unit determines that the marker does not exist in the image data.
[0013] Preferably, the image capturing section captures images with a fixed focus, and the abnormality detection section detects an abnormality in document discharge based on the degree of blurring of content in image data captured by the image capturing section.
[0014] Preferably, the abnormality detection unit extracts edges that exist outside a predetermined range from the image data captured by the imaging unit, and detects an abnormality in document discharge based on the extracted edges.
[0015] Preferably, the abnormality detection unit further includes a transport control unit that extracts 90-degree edges that exist outside a predetermined range, and reduces the speed at which the document is discharged by the document transport unit when two or more 90-degree edges extracted by the abnormality detection unit are found.
[0016] The abnormality detection method of the present invention includes a document transport step for discharging a document that has undergone image reading processing, a photographing step for photographing the area where the document is discharged by the document transport step, and an abnormality detection step for detecting an abnormality in the document discharge based on image data photographed by the photographing step.
[0017] The program of the present invention causes a computer to execute a document transport step of discharging a document that has undergone image reading processing, a photographing step of photographing the area where the document is discharged by the document transport step, and an abnormality detection step of detecting an abnormality in the document discharge based on image data photographed by the photographing step. [Effects of the Invention]
[0018] An image reading device that detects abnormalities in a discharged document is provided. [Brief explanation of the drawings]
[0019] [Figure 1] FIG. 1 is a schematic diagram of an image reading device 1. [Figure 2] FIG. 2 is a diagram illustrating an example of a hardware configuration of the image reading device 1. [Figure 3] FIG. 2 is a diagram illustrating an example of a functional configuration of the image reading device 1. [Figure 4] 10 is a flowchart illustrating document discharge abnormality detection processing (S10) performed by the image reading device 1. [Figure 5] 10 is a flowchart illustrating a document swap detection process (S20). [Figure 6] 10 is a flowchart illustrating a document push-out detection process (S30). [Figure 7] 10 is a flowchart illustrating a curl detection process (S40) of a document. [Figure 8] 10 is a flowchart illustrating a process of detecting a decrease in alignment of a document (S50). [Figure 9] FIG. 10 is an image diagram of document ejection from stacker 2. [Figure 10] FIG. 2 is an image diagram of a marker 5 formed on a stacker 2. DETAILED DESCRIPTION OF THE INVENTION
[0020] [background] The background to the invention will be explained. For example, in a scanning service, there is a workflow where scanned items are visually checked to see if the OCR (Optical Character Recognition) was successful, but if the check reveals that there is a medium that needs to be rescanned, the original must be found and rescanned. In this case, if the reading order and ejection order of the paper transport in the scanner do not match, it is difficult to find the original, which makes it time-consuming to search. Furthermore, there are cases where the documents are disorganized in the stacker due to curling of the documents or ejected documents pushing out documents in the stacker. Furthermore, once the alignment of the documents in the stacker becomes poor, it only gets worse, requiring the user to take the trouble of rearranging the documents.
[0021] To address these issues, the image reading device 1 of the present invention detects any misalignment or disorder of original documents in the stacker and notifies the user, thereby enabling the user to understand the order of the original documents and minimizing the disorder of the original documents.
[0022] An embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a diagram illustrating a schematic diagram of an image reading device 1. As shown in FIG. As illustrated in FIG. 1, the image reading device 1 is a scanner that reads an image from a document, and has a stacker 2, a stopper 3, and a camera 4, and is installed with an abnormality detection program 11, which will be described later with reference to FIG. 3. The stacker 2 is a document table onto which documents are discharged by a document transport unit 114 (described later), and the discharged documents are stacked. Stopper 3 is provided at the tip of stacker 2 to prevent ejected documents from jumping out. Markers 5 corresponding to each document size are formed on the surface of stopper 3. Markers 5 are marks for detecting the pushing out of a document. Camera 4 photographs the area where the documents are discharged in response to instructions from photographing unit 112, which will be described later. Specifically, camera 4 photographs stacker 2, into which the documents are discharged, with a fixed focus. There may be multiple cameras 4, and camera 4a photographs the documents discharged into stacker 2 from above the document surface. Camera 4b photographs stacker 2 from the side, so that, for example, the discharged and stacked documents and the markers 5 formed on stopper 3 are simultaneously visible. In this embodiment, the markers 5 are formed on the stopper 3, but this is not limiting. For example, as illustrated in Fig. 10, a plurality of markers 5 corresponding to each size of document may be formed on the stacker 2. The A4 size marker 5 is a mark for detecting the pushing out of an A4 size document, and the B5 size marker 5 is a mark for detecting the pushing out of a B5 size document.
[0023] FIG. 2 is a diagram illustrating an example of the hardware configuration of the image reading device 1. As shown in FIG. As illustrated in FIG. 2, the image reading device 1 includes a CPU 200, a volatile memory 202, a non-volatile memory 204, a network interface 206 (network IF 206), and a touch panel 208, which are connected to each other via a bus 212. The CPU 200 is, for example, a central processing unit. The memory 202 is, for example, a volatile memory, and functions as a main storage device. The nonvolatile memory 204 serves as a nonvolatile storage device and stores, for example, computer programs (for example, the anomaly detection program 11 in FIG. 3) and other data files. The network IF 206 is an interface for wired or wireless communication. The touch panel 208 is an example of an operation screen, and is, for example, a liquid crystal touch panel.
[0024] FIG. 3 is a diagram illustrating an example of the functional configuration of the image reading device 1. As shown in FIG. As shown in FIG. 3, an abnormality detection program 11 is installed in the image reading device 1 of this embodiment. The abnormality detection program 11 is stored in a recording medium such as a CD-ROM, and is installed in the image reading device 1 via this recording medium. The abnormality detection program 11 includes a document reading unit 110, an imaging unit 112, a document transport unit 114, a movement amount measurement unit 116, a similarity calculation unit 118, a printing unit 120, an abnormality detection unit 122, a notification unit 132, and a transport control unit 134. The abnormality detection unit 122 includes a swap detection unit 124, a marker confirmation unit 126, a blur detection unit 128, and an edge detection unit 130. Note that part or all of the abnormality detection program 11 may be realized by hardware such as an ASIC, or may be realized by borrowing some of the functions of an OS (Operating System).
[0025] In the abnormality detection program 11, the document reading unit 110 reads a document and obtains image data of the read document. The document transport unit 114 discharges the document onto the stacker 2 after image reading processing. The photographing unit 112 photographs the area where the document is discharged by the document transport unit 114. Specifically, the photographing unit 112 photographs the stacker 2 with the camera 4. Furthermore, photographing unit 112 photographs the area where the document is discharged when the moving speed of the document discharged by document transport unit 114 becomes equal to or less than a reference value. Specifically, photographing unit 112 photographs stacker 2 when movement amount measuring unit 116 determines that the discharged document has stopped.
[0026] Movement amount measurement unit 116 measures the movement speed of the document discharged by document transport unit 114. Specifically, movement amount measurement unit 116 compares the image captured by camera 4 with the image captured one frame before, and if there is no change in the compared images, movement amount measurement unit 116 determines that there is no movement amount. As illustrated in Fig. 9, movement amount measurement unit 116 measures the movement amount until the document has been discharged from the leading edge to the trailing edge onto stacker 2 and the document comes to rest. The similarity calculation unit 118 calculates the similarity between the image determined by the movement amount measurement unit 116 to be stationary and the image read by the document reading unit 110. Specifically, the similarity calculation unit 118 matches feature points between the image determined by the movement amount measurement unit 116 to be stationary of the discharged document and the image read by the document reading unit 110, and calculates the similarity. The printing unit 120 prints the identification information on the document to be subjected to the image reading process. Specifically, the printing unit 120 prints numbers on the document using an imprinter.
[0027] The abnormality detection unit 122 detects an abnormality in the document discharge based on the image data captured by the image capturing unit 112. The reorder detection unit 124 detects an abnormality in document discharge based on the image data read by the image reading process and the image data captured by the image capture unit 112. Specifically, the reorder detection unit 124 detects, as an abnormality, a change in the order of the documents stacked in the stacker 2. More specifically, if the similarity calculated by the similarity calculation unit 118 is lower than a predetermined value, it is determined that a reordering of the documents has occurred. Furthermore, the swap detection unit 124 detects an abnormality in document discharge based on the identification information included in the image data captured by the imaging unit 112. More specifically, the swap detection unit 124 determines that a swap of documents has occurred in the stacker 2 when the regularity of the numbers printed by the printing unit 120 is disrupted.
[0028] The marker confirmation unit 126 detects an abnormality in document discharge based on whether or not a marker 5 is present in the image data captured by the image capture unit 112. Specifically, the marker confirmation unit 126 determines that document push-out has occurred when the documents discharged and stacked in the stacker 2 exceed the marker 5 and the marker 5 is hidden. More specifically, the marker confirmation unit 126 determines that document push-out has occurred when the marker 5 designated by the user is hidden. The blur detection unit 128 detects an abnormality in document discharge based on the degree of blurring of the content in the image data captured by the image capturing unit 112. The edge detection unit 130 extracts edges that exist outside a predetermined range from the image data captured by the imaging unit 112, and detects abnormalities in document discharge based on the extracted edges. Specifically, the edge detection unit 130 extracts 90-degree edges that exist outside a predetermined range, and if two or more 90-degree edges extracted by the edge detection unit 130 are found, it determines that the alignment of the documents in the stacker 2 is poor.
[0029] When an abnormality is detected by the abnormality detection unit 122, the notification unit 132 notifies the user that the abnormality has been detected or the position of the page where the abnormality occurred during continuous scanning. When the abnormality detection unit 122 determines that the marker 5 does not exist in the image data, the transport control unit 134 reduces the speed at which the document is discharged by the document transport unit 114. Furthermore, when the abnormality detection unit 122 detects an abnormality, the transport control unit 134 stops the continuous transport of the document by the document transport unit 114.
[0030] FIG. 4 is a flowchart illustrating the document discharge abnormality detection process (S10) performed by the image reading device 1. As shown in FIG. 4, in step 100 (S100), the document reading unit 110 reads the document. In step 105 (S105), the camera 4 photographs and monitors the stacker 2. In step 110 (S110), the document change detection unit 124 detects whether the documents have been changed based on the image data read by the document reading unit 110 and the image data photographed by the camera 4. In step 115 (S115), the marker confirmation unit 126 detects the pushing out of the document based on the presence or absence of the marker 5 formed on the stopper 3 in the image data captured by the camera 4. In step 120 (S120), the blur detection unit 128 detects curl of the document based on the degree of blur of the content in the image data captured by the camera 4. In step 125 (S125), the edge detection unit 130 detects poor alignment of the document based on edges that exist outside a predetermined range in the image data captured by the camera 4.
[0031] Next, the process of detecting each discharge abnormality of the document will be described. FIG. 5 is a flowchart illustrating the document exchange detection process (S20). As shown in FIG. 5, in step 200 (S200), the document reading unit 110 reads the document. In step 205 (S205), the photographing unit 112 monitors the stacker 2 with the camera 4. In step 210 (S210), the printing unit 120 prints a number, which is identification information, on the read document. In step 215 (S215), the document transport unit 114 discharges the document on which the number is printed to the stacker 2. In step 220 (S220), the movement amount measurement unit 116 compares the image captured by the camera 4 with the image captured one frame before. In step 225 (S225), if the movement amount measurement unit 116 determines that there is no change in the compared images, that is, if there is no movement of the document and the document is stationary (S225: Yes), the process proceeds to S230, and if it determines that there is a change in the compared images (S225: No), the process proceeds to S220.
[0032] In step 230 (S230), the photographing unit 112 photographs the stacker 2 with the camera 4 and acquires image data of the still document. In step 235 (S235), the similarity calculation section 118 performs matching of feature points between the image data captured in S230 and the image data read by the document reading section 110, and calculates the similarity. In step 240 (S240), if the similarity calculated by the similarity calculation unit 118 is lower than the default value (S240: Yes), the replacement detection unit 124 proceeds to S245, and if the similarity calculated by the similarity calculation unit 118 is higher than the default value (S240: No), the replacement detection unit 124 proceeds to S200 and continues reading the document. In step 245 (S245), the notification unit 132 notifies the touch panel 208 of the image reading device 1 or the user terminal operated by the user who controls the image reading device 1 that the order of the documents has been changed, and notifies the number printed by the printing unit 120 on the document that has been determined to have been changed.
[0033] FIG. 6 is a flowchart illustrating the document push-out detection process (S30). As shown in FIG. 6, in step 300 (S300), the document reading unit 110 reads the document. In step 305 (S305), if marker 5 has been designated (S305: Yes), the document push-out detection process (S30) proceeds to S315, and if marker 5 has not yet been designated (S305: No), the process proceeds to S310. In step 310 (S310), the designation of the marker 5 is accepted according to the size of the document read in S300. In step 315 (S315), the photographing unit 112 monitors the stopper 3 of the stacker 2 with the camera 4.
[0034] In step 320 (S320), the document transport unit 114 discharges the document read by the document reading unit 110 to the stacker 2. In step 325 (S325), if the marker confirmation unit 126 determines that the document discharged by the document transport unit 114 has exceeded the marker 5 of the stopper 3 in the image captured by the camera 4, that is, if the marker 5 is hidden by the document (S325: No), the marker confirmation unit 126 determines that a stacking failure has occurred due to the document being pushed out. Also, if the marker confirmation unit 126 determines that the document discharged by the document transport unit 114 has not exceeded the marker 5 of the stopper 3 in the image captured by the camera 4, that is, if the marker 5 is not hidden by the document (S325: Yes), the process proceeds to S300, and reading of the document continues. In step 330 (S330), the notification unit 132 notifies the touch panel 208 of the image reading device 1 or the user terminal operated by the user controlling the image reading device 1 that a stacking error due to pushing has occurred, the document reading unit 110 stops reading the document, and the transport control unit 134 stops the continuous transport of the document by the document transport unit 114.
[0035] FIG. 7 is a flowchart illustrating the process of detecting curl of the document (S40). As shown in FIG. 7, in step 400 (S400), the document reading unit 110 reads the document. In step 405 (S405), the photographing unit 112 monitors the stacker 2 with the camera 4. In step 410 (S410), the document transport unit 114 discharges the document read by the document reading unit 110 to the stacker 2. In step 415 (S415), the movement amount measurement unit 116 compares the image data captured by the camera 4 with the image data captured one frame before. In step 420 (S420), if the movement amount measurement unit 116 determines that there is no change in the compared images, that is, if there is no movement of the document and the document is stationary (S420: Yes), the process proceeds to S425, and if it determines that there is a change in the compared images (S420: No), the process proceeds to S415.
[0036] In step 425 (S425), the photographing unit 112 photographs the stacker 2 with the camera 4 and acquires image data of the still document. In step 430 (S430), the blur detection unit 128 determines whether the content of the image data captured in S425 is blurred. If the curl detection unit 128 determines that the content is blurred (S430: Yes), the process proceeds to S435, and if the blur detection unit 128 determines that the content is not blurred (S430: No), the process proceeds to S400 and continues reading the document. In step 435 (S130), the notification unit 132 notifies the touch panel 208 of the image reading device 1 or the user terminal operated by the user controlling the image reading device 1 that curling of the document has occurred, the document reading unit 110 stops reading the document, and the transport control unit 134 stops the continuous transport of the document by the document transport unit 114.
[0037] FIG. 8 is a flowchart illustrating the process of detecting a decrease in the alignment of the document (S50). As shown in FIG. 8, in step 500 (S500), the document reading unit 110 reads the document. In step 505 (S505), if a predetermined range in which edges are not detected has been set (S505: Yes), the document alignment degradation detection process (S50) proceeds to S515, and if a predetermined range has not yet been set (S505: No), the process proceeds to S510. In step 510 (S510), the setting of a predetermined range in which edges are not detected is accepted according to the size of the document read in S500. In step 515 (S515), the photographing unit 112 photographs the document discharged to the stacker 2 from above the document surface using the camera 4.
[0038] In step 520 (S520), the document transport unit 114 discharges the document read by the document reading unit 110 to the stacker 2. In step 525 (S525), if the edge detection unit 130 detects two or more 90-degree edges outside a predetermined range in the image captured by the camera 4 (S525: Yes), the edge detection unit 130 determines that the alignment of the document is poor and proceeds to S530, and if the edge detection unit 130 does not detect two or more edges (S525: No), the process proceeds to S500 and continues reading the document. In step 530 (S530), the notification unit 132 notifies the touch panel 208 of the image reading device 1 or the user terminal operated by the user controlling the image reading device 1 that the document alignment is poor, the document reading unit 110 stops reading the document, and the transport control unit 134 stops the continuous transport of the document by the document transport unit 114.
[0039] As described above, the image reading device 1 monitors the documents discharged in the stacker 2, and based on the obtained image data, detects any misalignment, pushing, curling, or other issues with the documents and notifies the user. This allows the image reading device 1 to grasp the order in which the documents were discharged, minimizes any disorder in the discharged documents, and reduces the effort required for correction.
[0040] [Variation 1] Next, a modification of the above embodiment will be described. In the document shuffling detection process (S20) in FIG. 5, the shuffling detection unit 124 detects a shuffling of the document order based on a comparison between the read image data and the image data of the discharged document, but this is not limited to this. For example, the shuffling detection unit 124 may determine that a shuffling of the document order has occurred in stacker 2 when the regularity of the numbers printed by the printing unit 120 in the image data of the discharged document becomes disrupted.
[0041] [Variation 2] In the document push detection process (S30) in Figure 6, when a document is detected being pushed out, a notification is issued that a stacking problem has occurred due to the push, and reading of the document is stopped, but this is not limited to this. For example, when a document is detected being pushed out by the marker confirmation unit 126, the transport control unit 134 may reduce the document transport speed by the document transport unit 114, thereby reducing the disorder of the documents in the stacker 2. Similarly, in the process of detecting a decrease in the alignment of the original (S50) in Figure 8, if a decrease in alignment is detected, i.e., if the edge detection unit 130 detects two or more edges and a decrease in the alignment of the original is detected, the transport control unit 134 may reduce the disorder of the original in the stacker 2 by slowing down the transport speed of the original by the original transport unit 114.
[0042] [Variation 3] In the document push detection process (S30) in Figure 6, the pushing of the document is determined based on whether or not the marker 5 formed on the stopper 3 is present in the image data of the stopper 3 photographed by the photographing unit 112. However, this is not limited to this, and for example, a paper sensor may be attached to the stopper 3, and if the paper sensor detects the document, it may be determined that the document has been pushed out.
[0043] [Variation 4] The curl of the document is determined based on the degree of blurring of the image data of the discharged document photographed by the photographing unit 112 in the document curl detection process (S40) in Figure 7, but this is not limited to this. For example, as in the document swap detection process (S10), it may be determined that the document has curled if the similarity between the image read by the document reading unit 110 and the image of the document discharged by the document transport unit 114 is below a predetermined value. [Explanation of symbols]
[0044] 1...Image reading device 2...Stacker 3...Stopper 4. Camera 5...Marker 11...Anomaly detection program 110...Document reading unit 112...Photography Department 114...Document transport section 116...Movement measurement section 118…Similarity calculation unit 120...Printing Department 122...Abnormality detection unit 124...Replacement detection unit 126...Marker confirmation section 128...Blur detection section 130...Edge detection unit 132…Notification department 134...Transport control unit
Claims
1. a medium transport unit that discharges the medium after image reading processing; an imaging unit that images an area where the medium is discharged by the medium transport unit; an abnormality detection unit that detects an abnormality in medium ejection based on image data captured by the imaging unit; An image reading device having the above structure.
2. a notification unit that notifies a user of the detection of an abnormality when the abnormality detection unit detects an abnormality; The image reading device according to claim 1 , further comprising:
3. The abnormality detection unit detects an abnormality in medium ejection based on image data read by the image reading process and image data photographed by the photographing unit.
2. The image reading device according to claim 1.
4. Using an image taken of an area where the medium is discharged when the moving speed of the medium discharged by the medium transport unit becomes equal to or lower than a reference value; 2. The image reading device according to claim 1,
5. a printing unit that prints identification information on a medium on which the image reading process is performed; The abnormality detection unit detects an abnormality in medium ejection based on the identification information included in the image data captured by the imaging unit.
2. The image reading device according to claim 1.
6. The abnormality detection unit detects, as an abnormality, a change in the order of the media stacked in the area where the media are ejected; a transport control unit that stops continuous transport of the medium by the medium transport unit when an abnormality is detected by the abnormality detection unit; The image reading device according to claim 1 , further comprising:
7. a document table onto which the medium is discharged by the medium transport unit; A marker formed on the surface of the document table; and The abnormality detection unit detects an abnormality in medium ejection based on whether or not the marker is present in image data captured by the imaging unit.
5. The image reading device according to claim 4.
8. a transport control unit that reduces a speed at which the medium is discharged by the medium transport unit when the abnormality detection unit determines that the marker does not exist in the image data; 8. The image reading device according to claim 7, further comprising:
9. The imaging unit captures images at a fixed focus, The abnormality detection unit detects an abnormality in medium ejection based on a degree of blurring of content in image data captured by the imaging unit.
5. The image reading device according to claim 4.
10. The abnormality detection unit extracts edges that exist outside a predetermined range from the image data captured by the imaging unit, and detects an abnormality in medium ejection based on the extracted edges.
2. The image reading device according to claim 1.
11. The anomaly detection unit extracts perpendicular edges that exist outside a predetermined range, a transport control unit that reduces a speed at which the medium is discharged by the medium transport unit when two or more perpendicular edges extracted by the abnormality detection unit are found; The image reading device according to claim 10, further comprising:
12. a medium conveying step of discharging the medium on which the image reading process has been performed; an imaging step of imaging an area where the medium is discharged by the medium transport step; an abnormality detection step of detecting an abnormality in medium ejection based on image data captured by the photographing step; The anomaly detection method includes the steps of:
13. a medium conveying step of discharging the medium on which the image reading process has been performed; an imaging step of imaging an area where the medium is discharged by the medium transport step; an abnormality detection step of detecting an abnormality in medium ejection based on image data captured by the photographing step; A program that causes a computer to execute the following.
14. An imaging unit that images an area into which the medium is discharged or the discharged medium; an abnormality detection unit that detects an abnormality in medium ejection based on image data captured by the imaging unit; Equipped with notifying the abnormality when the abnormality detection unit detects an abnormality in the medium ejection; A discharge abnormality detection device comprising: