IP Library Granted Patent US 11,632,483
Granted Patent B2
US 11,632,483 · App. 16/833,837 · Granted Apr 18, 2023

Management system, information processing apparatus, data transmission destination prediction method, data transmission method, and non-transitory computer-readable storage medium

Inventor: Shunsuke Mogaki (Kawasaki, JP)
Assignee: Canon Kabushiki Kaisha
H04N1/32096G06N20/00H04N1/00209H04N1/00214H04N1/00206H04N2201/0094
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,632,483
App. No.
16/833,837
Granted
Apr 18, 2023
Kind
B2
Abstract

A management system for managing a data transmission destination comprises an accumulation unit configured to accumulate, when data transmission is performed, transmission information of the data transmission as collected data; a generation unit configured to generate training data including a pair of ground truth data containing transmission destination information, and input data containing an item other than the transmission destination information, from the collected data accumulated in the accumulation unit; a processing unit configured to generate, by machine learning, a learning model to be used to predict a transmission destination, by using the training data generated by the generation unit; and a providing unit configured to provide a prediction process using the learning model in response to a request.

Claims (48)

1. An information processing apparatus comprising:

at least one processor; and

at least one memory comprising at least one program, wherein the at least one program is configured to cause the at least one processor to perform:

transmitting data;

providing, when data transmission is performed in the transmitting, an external apparatus with transmission information of the data transmission as collected data;

executing a prediction process of predicting a candidate of a data transmission destination;

presenting the candidate of the data transmission destination predicted by in the executing; and

displaying a screen including a transmission destination button, a transmit-to-myself button, an automatic determination button, a transmission-destination-display-box, and a scan-and-transmit button,

wherein the prediction process is performed by using a learning model generated by machine learning performed based on training data generated from collected data accumulated in the external apparatus, the training data including a pair of ground truth data containing transmission destination information, and input data containing an item other than the transmission destination information, and

wherein

a transmission destination input by a user is set in the transmission-destination-display-box when the transmission destination button is depressed,

an address set in the login account is set as the transmission destination in the transmission-destination-display-box when the transmit-to-myself button is depressed,

the data transmission destination is predicted by the prediction process after data to be transmitted is scanned when the automatic determination button is depressed,

data is scanned and transmitted to the transmission destination being already set in the transmission-destination-display-box when the scan-and-transmit button is depressed with the transmission destination being already set in the transmission-destination-display-box, and

the data transmission destination is predicted by the prediction process after data to be transmitted is scanned when the scan-and-transmit button is depressed with no transmission destination being set in the transmission-destination-display-box.

2. The apparatus according to claim 1 , wherein the at least one program is further configured to cause the at least one processor to perform holding, for each user, setting information indicating whether to perform the prediction process, and

execution of the prediction process is controlled for each user in the executing.

3. The apparatus according to claim 1 , wherein, in the executing, the learning model is obtained from the external apparatus, and a candidate of a data transmission destination is predicted by using the learning model.

4. The apparatus according to claim 1 , wherein, in the executing, a request is transmitted to the external apparatus by including information of an item used as the input data in the external apparatus, and a prediction result of a candidate of a data transmission destination is received as a response to the request.

5. The apparatus according to claim 1 , wherein, in the executing, information obtained by deleting predetermined attribute information from information used in data transmission in the transmitting is provided as collected data.

6. The apparatus according to claim 1 , wherein

the information processing apparatus is an image formation apparatus, and

the image formation apparatus generates image data as the data by a scan process.

7. A data transmission destination prediction method comprising:

transmitting data;

providing, when data transmission is performed by the transmitting, an external apparatus with transmission information of the data transmission as collected data;

executing a prediction process of predicting a candidate of a data transmission destination;

presenting the candidate of the data transmission destination predicted in the executing a prediction process; and

displaying a screen including a transmission destination button, a transmit-to- myself button, an automatic determination button, a transmission-destination-display-box, and a scan-and-transmit button,

wherein the executing a prediction process is performed by using a learning model generated by machine learning performed based on training data generated by using the collected data accumulated in the external apparatus, the training data including a pair of ground truth data containing transmission destination information, and input data containing an item other than the transmission destination information, and

wherein

a transmission destination input by a user is set in the transmission-destination-display-box when the transmission destination button is depressed,

an address set in the login account is set as the transmission destination in the transmission-destination-display-box when the transmit-to-myself button is depressed,

the data transmission destination is predicted by the prediction process after data to be transmitted is scanned when the automatic determination button is depressed,

data is scanned and transmitted to the transmission destination being already set in the transmission-destination-display-box when the scan-and-transmit button is depressed with the transmission destination being already set in the transmission-destination-display-box, and

the data transmission destination is predicted by the prediction process after data to be transmitted is scanned when the scan-and-transmit button is depressed with no transmission destination being set in the transmission-destination-display-box.

8. A non-transitory computer-readable storage medium storing a program for causing a computer, when the program is executed by the computer, to execute:

transmitting data;

providing, when data transmission is performed by the transmitting, an external apparatus with transmission information of the data transmission as collected data;

executing a prediction process of predicting a candidate of a data transmission destination;

presenting the candidate of the data transmission destination predicted in the executing a prediction process; and

displaying a screen including a transmission destination button, a transmit-to-myself button, an automatic determination button, a transmission-destination-display-box, and a scan-and-transmit button,

wherein the executing a prediction process is performed by using a learning model generated by machine learning performed based on training data generated by using the collected data accumulated in the external apparatus, the training data including a pair of ground truth data containing transmission destination information, and input data containing an item other than the transmission destination information, and

wherein

a transmission destination is input by a user is set in the transmission-destination-display-box when the transmission destination button is depressed,

an address set in the login account is set as the transmission destination in the transmission-destination-display-box when the transmit-to-myself button is depressed, the data transmission destination is predicted by the prediction process after data to be transmitted is scanned when the automatic determination button is depressed,

data is scanned and transmitted to the transmission destination being already set in the transmission-destination-display-box when the scan-and-transmit button is depressed with the transmission destination being already set in the transmission-destination-display-box, and

the data transmission destination is predicted by the prediction process after data to be transmitted is scanned when the scan-and-transmit button is depressed with no transmission destination being set in the transmission-destination-display-box.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 29, 2020
From: MOGAKI, SHUNSUKE
To: CANON KABUSHIKI KAISHA
Reel/Frame 053347/0756 →
Priority Claims (1)
JP JP2019-072166 · Apr 4, 2019 · national
Continuity (1)
Related Publication 20200322500A1 · Oct 8, 2020