Anti-theft system used for customer service
US-2016196485-A1 · Jul 7, 2016 · US
US9852606B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-9852606-B1 |
| Application number | US-201715483248-A |
| Country | US |
| Kind code | B1 |
| Filing date | Apr 10, 2017 |
| Priority date | Apr 10, 2017 |
| Publication date | Dec 26, 2017 |
| Grant date | Dec 26, 2017 |
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A system and method for investigating crimes occurring at locations that are communicatively connected by a central server is disclosed. The investigation is highly automated and obtains evidence using computer aided searches of historic surveillance data gathered at locations within a computer search area. The investigation also utilizes active searches of real-time surveillance data gathered at the locations in response to a be-on-the-look-out (BOLO) alert sent to the locations from the central server. Based on evidence obtained from these searches, the search area may be updated and the searches may be repeated to follow a moving crime pattern/route. In addition, the information provided from the searches may facilitate the prediction of a location that is likely to experience a crime in the future. Accordingly, the central server may transmit a high alert to the predicted location.
Opening claim text (preview).
The invention claimed is: 1. A method for computer-enabled crime investigation, the method comprising: providing a central server that is in communication with a network of client computers, wherein each client computer is located at one store location of a chain of stores; receiving a crime report from one of the client computers, the crime report comprising details of a crime, a location of the crime, and identifying information of a suspect of the crime; creating a record of the crime in a record database; computing a search area based on the location of the crime; performing a historic search for the suspect, wherein the historic search comprises: searching for the suspect in surveillance data collected at store locations within the search area; determining, based on the search, (i) times and locations that the suspect was observed and (ii) other identifying information of the suspect, and updating the record to include (i) the times and locations and (ii) the other identifying information; performing an active search for the suspect, wherein the active search comprises: creating a be-on-the-look-out (BOLO) alert comprising the identifying information of the suspect obtained from the record, transmitting the BOLO alert to all client computers within the search area, monitoring the client computers in the search area for responses to the BOLO alert, wherein the responses to the BOLO alert include recent locations that the suspect was observed, and updating the search area based on the responses to the BOLO alert; and repeating the historic search and the active search until the BOLO alert is closed or until the historic search and the active search return no results for a period. 2. The method according to claim 1 , wherein: the surveillance data comprises surveillance video, and wherein: the searching for the suspect in surveillance data collected at store locations within the search area, comprises applying facial recognition or license plate recognition to the surveillance video. 3. The method according to claim 1 , further comprising: determining a store location that the suspect is likely to visit in the future based on the historic search and active search results; and transmitting a high alert to the client computer at the determined store location. 4. The method according to claim 3 , wherein the determining a store location comprises: creating a map of store locations that the suspect has been observed; computing a suspect range from the map; and determining, from the suspect range, a store location that the suspect is likely to visit in the future. 5. The method according to claim 1 , further comprising: determining a store location that is likely to experience a crime in the future based on the historic search and active search results; and transmitting a high alert to the determined store location. 6. The method according to claim 5 , the determining a store location comprises: creating a map of store locations that the suspect has acted criminally; computing a projected crime route from the map; and determining, from the projected crime route, a store location that is likely to experience a crime in the future. 7. The method according to claim 6 , wherein the computing a projected crime route comprises correlating the store locations that the suspect has acted criminally with high-crime areas or with highways. 8. The method according to claim 1 , wherein the identifying information of a subject comprises one or more of a group comprising: a description of the suspect, a description of the suspect's clothing, an image of the suspect, a description of a suspect's vehicle, an image of a suspect's vehicle, and a license plate number of a suspect's vehicle. 9. The method according to claim 1 , wherein the details of a crime comprises one or more of a group comprising: a type of crime, a description of crime, a video of the crime, a description of a stolen item, and an image of a stolen item. 10. The method according to claim 9 , further comprising: performing a web search for a stolen item, wherein the web search comprises: searching social media for a description/image of the stolen item in a post that originates from within the search area, determining, from the search, a social media identity of the suspect and a location of the suspect at the time of the post, and updating the record to include the social media identity of the suspect and the location of the suspect at the time of the post. 11. The method according to claim 10 , wherein the performing a web search for a stolen item further comprises: generating a web alert comprising the location of the suspect at the time of the post, and transmitting the web alert to client computers within the search area. 12. A system for computer-enabled crime investigation, the system comprising: a network of client computers that are located at stores of a chain of stores; a record database storing records of crimes committed at the stores, wherein each record of a crime comprises details of the crime, a location of the crime, and identifying information of a suspect of the crime; and a central server that is in communication with the record database and the network of client computers, wherein a processor of the central server is configured by software instructions to: receive a crime report from one of the client computers, the crime report; create a record of the crime in the record database; compute a search area based on the location of the crime; perform a historic search for the suspect, wherein the historic search comprises: searching for the suspect in surveillance data collected at the stores within the search area; determining, based on the search, (i) times and locations that the suspect was observed and (ii) other identifying information of the suspect, and updating the record to include (i) the times and locations and (ii) the other identifying information; performing an active search for the suspect, wherein the active search comprises: creating a be-on-the-look-out (BOLO) alert comprising the identifying information of the suspect obtained from the record, transmitting the BOLO alert to all client computers within the search area, monitoring the client computers in the search area for a responses to the BOLO alert, wherein the responses to the BOLO alert include recent locations that the suspect was observed, and updating the search area based on the responses to the BOLO alert; and repeat the historic search and the active search until the BOLO alert is closed or until the historic search and the active search return no results for a period. 13. The system according to claim 12 , further comprising video surveillance systems communicatively coupled to each of the client computers. 14. The system according to claim 13 , wherein the searching for the suspect in surveillance data collected at store locations within the search area comprises applying facial recognition or license plate recognition to surveillance video captured by the video surveillance systems. 15. The system according to claim 12 , wherein the processor of the central server is further configured by software instructions to: determine a store location that is likely to experience a crime in the future based on the historic search and active search results; and transmit a high alert to the determined store location. 16. The system according to claim 15 , wherein to determine a store location that is likely to experience a crime in the future, the processor of the central
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