EP-4736404-A1 - CAMERA OPERATION VERIFICATION SYSTEM AND METHOD

Abstract

A video camera recording system is provided. The aspects include one or more memories configured to store program code. The program code is for performing an automated verification test of elements of the video camera recording system using at least one artificial intelligence (Al) model to identify potential issues with the elements of the video camera recording system. The aspects further include one or more processors, operatively coupled to the one or more memories and configured to run the program code. The aspects also include a transceiver configured to transmit instructions causing a corrective action to be performed for at least one of the potential issues.

Inventors

• RICHARD, Brian C.
• ROZNER, Amit
• FALIK, YOHAY
• DOTAN, CALANIT

Assignees

• Tyco Fire & Security GmbH
• Richard, Brian C.
• Rozner, Amit
• Falik, Yohay
• Dotan, Calanit

Dates

Publication Date

20260506

Application Date

20240627

Claims (20)

1. 1. A video camera recording system, comprising: one or more memories configured to store program code, wherein the program code is for performing an automated verification test of elements of the video camera recording system using at least one artificial intelligence (Al) model to identify potential issues with the elements of the video camera recording system; one or more processors, operatively coupled to the one or more memories and configured to run the program code; and a transceiver configured to transmit instructions causing a corrective action to be performed for at least one of the potential issues.
2. 2. The video camera recording system in accordance with claim 1, wherein the elements of the video camera recording system subjected to the automated verification test comprise video cameras, video recorders, and networks connecting the video cameras to the video recorders.
3. 3. The video camera recording system in accordance with claim 2, wherein the potential issues comprise video camera issues, video recorder issues, and network issues.
4. 4. The video camera recording system in accordance with claim 3, wherein the video camera issues comprise unintended camera movement, distortion, and blurriness.
5. 5. The video camera recording system in accordance with claim 3, wherein the video recording issues comprise an incorrect video duration.
6. 6. The video camera recording system in accordance with claim 1, further comprising a graphical user interface having display elements configured to display a video camera health status, a video recorder health status, and a network health status.
7. 7. The video camera recording system in accordance with claim 6, wherein the graphical user interface further has display elements configured to display a confidence value for each of the video camera health status, the video recorder health status, and the network health status.
8. 8. The video camera recording system in accordance with claim 1, wherein the verification test is repeated on a random basis.
9. 9. The video camera recording system in accordance with claim 1, wherein the verification test is repeated on a scheduled basis.
10. 10. The video camera recording system in accordance with claim 1, wherein the artificial intelligence comprises pattern-matching between input images and reference images.
11. 11. A method for video camera recording system operation verification, comprising: performing an automated verification test of elements of the video camera recording system using at least one artificial intelligence (Al) model to identify potential issues with the elements of the video camera recording system; and transmitting instructions causing a corrective action to be performed for at least one of the potential issues.
12. 12. The method in accordance with claim 11, wherein the elements of the video camera recording system subjected to the automated verification test comprise video cameras, video recorders, and networks connecting the video cameras to the video recorders.
13. 13. The method in accordance with claim 12, wherein the potential issues comprise video camera issues, video recorder issues, and network issues.
14. 14. The method in accordance with claim 13, wherein the video camera issues comprise unintended camera movement, distortion, and blurriness.
15. 15. The method in accordance with claim 13, wherein the video recording issues comprise an incorrect video duration.
16. 16. The method in accordance with claim 11, further comprising configuring a display elements of a graphical user interface to display a video camera health status, a video recorder health status, and a network health status.
17. 17. The method in accordance with claim 16, further configuring the display elements of the graphical user interface to display a confidence value for each of the video camera health status, the video recorder health status, and the network health status.
18. 18. The method in accordance with claim 11, wherein the verification test is repeated on a random basis.
19. 19. The method in accordance with claim 11, wherein the verification test is repeated on a scheduled basis.
20. 20. The method in accordance with claim 11, wherein the artificial intelligence comprises pattern-matching between input images and reference images.

Description

CAMERA OPERATION VERIFICATION SYSTEM AND METHOD PRIORITY [0001] This Application claims priority to provisional patent application serial number 63/523,552, filed on June 27, 2023, the disclosure of which is incorporated herein by reference. TECHNICAL FIELD [0002] Aspects of the present disclosure relate generally to a camera operation verification system and method. BACKGROUND [0003] In recent years, the field of surveillance has suffered from attacks against security systems becoming popular. For example, new generative Artificial Intelligence models (e.g., DeepFake) attacks pose a threat to security systems. In addition, security cameras are expensive to purchase and install. However, over the course of a year, a large percentage of deployed cameras become unusable due to camera movement, the camera being blocked, the presence of excessive darkness or brightness, blurring, and so forth. [0004] Hence, there is a need to prevent physical or digital attacks and also to alert on camera quality degradation due to camera movement, blocked camera view, and so forth. [0005] Moreover, another problem in the field of surveillance is that only after an incident occurs is it discovered that video of the incident is not available. This can be due to multiple reasons including, but not limited to, video camera issues (e.g., view obstructed, camera moved, water/blurry, malfunctioning camera, poor lighting at different hours of the day, etc.), network issues (the camera and/or recorder are offline), and/or video recorder issues (e.g., not recording video for that camera, recording was already overwritten (e.g., someone changed the recording settings from 90 days to 30), etc.). [0006] To solve this problem today, high security sites routinely verify video operation by viewing each and every camera on site, and ensuring video is being recorded appropriately. However, this is a very slow and tedious process for larger sites with thousands of cameras. In addition, this becomes even greater of a challenge when the site uses video camera and/or video recorders from different manufacturers. [0007] Hence, there is a need to verify the operation of each camera in an automatic manner and irrespective of the use of video recorders and/or video cameras made by different manufacturers. [0008] In some monitored areas (e.g., buildings), operators may employ a monitoring system to detect different types of events occurring within and/or around the monitored area (e.g., unauthorized access to a room, a medical emergency, building fire, building flood). For example, an operator may install video cameras throughout a monitored area for monitoring the movement of people within the monitored area. In some instances, a video camera may malfunction, or be adjusted by an unauthorized party. However, in systems employing a large number of video cameras, it may be difficult and/or cumbersome to detect when a video camera is malfunctioning or adjusted. [0009] Hence, there is a need for an automated way to determine when a video camera is malfunctioning or should be adjusted. SUMMARY [00010] The following presents a simplified summary of one or more aspects to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later. [00011] According to aspects of the present disclosure, a video camera recording system is provided. The system includes one or more memories configured to store program code. The program code is for performing an automated verification test of elements of the video camera recording system using at least one artificial intelligence (Al) model to identify potential issues with the elements of the video camera recording system. The system further includes one or more processors, operatively coupled to the one or more memories and configured to run the program code. The system also includes a transceiver configured to transmit instructions causing a corrective action to be performed for at least one of the potential issues. [00012] According to other aspects of the present disclosure, a method for video camera recording system operation verification is provided. The method includes performing an automated verification test of elements of the video camera recording system using at least one artificial intelligence (Al) model to identify potential issues with the elements of the video camera recording system. The method further includes transmitting instructions causing a corrective action to be performed for at least one of the potential issues. [00013] To the accomplishment of the foregoing and related ends, the one or more aspects comprise the features hereinafter fully described and particularly po