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BR-102024017392-A2 - METHOD AND SYSTEM FOR REAL-TIME WORK ACCIDENT PREVENTION BASED ON THREE-DIMENSIONAL IMAGES

BR102024017392A2BR 102024017392 A2BR102024017392 A2BR 102024017392A2BR-102024017392-A2

Abstract

The present invention describes a method for preventing workplace accidents in real time based on three-dimensional images, comprising: receiving a set of requirements that must be met by people in a monitored work area; capturing three-dimensional images of the monitored work area; creating three-dimensional regions of interest in the monitored work area; and processing the three-dimensional images of the created three-dimensional regions of interest with artificial intelligence techniques to identify whether the set of requirements is being met, said processing of the three-dimensional images with artificial intelligence techniques comprising analyzing pixel data and information in three-dimensional coordinates and in color coordinates.

Inventors

  • AMANDA LOPES FERNANDES
  • GUILHERME PEREIRA BARBOSA

Assignees

  • COMPANHIA PAULISTA DE FORÇA E LUZ
  • COMPANHIA PIRATININGA DE FORÇA E LUZ
  • COMPANHIA JAGUARI DE ENERGIA
  • RGE SUL DISTRIBUIDORA DE ENERGIA S. A.
  • CPFL ENERGIAS RENOVÁVEIS S.A.
  • KASCO P&D TECNOLOGIA DA INFORMAÇÃO LTDA
  • CPFL TRANSMISSÃO S.A.

Dates

Publication Date
20260310
Application Date
20240823

Claims (8)

  1. 1. Method for preventing work accidents in real time based on three-dimensional images, characterized in that it comprises: receiving (100) a set of requirements that must be met by people in a monitored work area; capturing (200) three-dimensional images of the monitored work area; creating (300) three-dimensional regions of interest in the monitored work area; and processing (400) the three-dimensional images of the created three-dimensional regions of interest with artificial intelligence techniques to identify whether the set of requirements is being met, said processing of the three-dimensional images with artificial intelligence techniques comprising analyzing pixel data and information in three-dimensional coordinates and in color coordinates.
  2. 2. A method according to claim 1, characterized in that the set of requirements comprises identifying one or more of: the number of people in the monitored work area, the use of personal protective equipment, the execution of dangerous gestures, and the distance between objects and people.
  3. 3. Method, according to claim 1, characterized in that it further comprises identifying (500) the depth of objects in the processed three-dimensional images.
  4. 4. Method according to claim 1, characterized in that it further comprises issuing (600) a real-time alert in the event of non-compliance with any requirement.
  5. 5. A method according to the preceding claim, characterized in that the emitted alert comprises one or more audible alerts, visual alerts, and vibration alerts.
  6. 6. Method, according to claim 1, characterized in that it comprises preparing and sending (700) to a web platform files with a summary of the procedures performed by people in the monitored work area.
  7. 7. A method, according to any of the preceding claims, characterized in that the files are analyzed and a score is generated based on the procedures that were performed, with the score being generated by quantifying the amount of non-compliance with the set of requirements.
  8. 8. System for preventing work accidents in real time based on three-dimensional images characterized in that it comprises: stereoscopic cameras (1000), adapted to capture three-dimensional images of a monitored work area; alert devices (1100), adapted to issue a real-time alert in case of non-compliance with any requirement; and a processor (1200) with instructions to execute the method as defined in any of claims 1 to 6.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and system for preventing workplace accidents in real time based on three-dimensional images. More specifically, the present invention relates to a method and system that process three-dimensional images using artificial intelligence techniques, of the deep learning type, to prevent workplace accidents in real time. BACKGROUND OF THE INVENTION [0002] Compliance with safety standards and proper work execution are crucial to preventing workplace accidents. Thus, some existing solutions aim to assist people in the workplace to comply with these standards and perform their work properly to avoid accidents. [0003] Document KR 102136070 B1, entitled “DISASTER AND ACCIDENT PREVENTION DEVICE IN CONSTRUCTION SITE USING AI IMAGE ANALYSIS”, published on July 21, 2020, refers to a device for disaster and accident prevention on a construction site through image analysis by artificial intelligence, capable of, in a dangerous zone of a construction site, issuing an alert by analyzing an image of a worker approaching the dangerous zone. The device includes a housing with internal storage space; a camera installed outside the housing and photographing an image of a predetermined angle range; a control part available in the storage space and analyzing the image photographed by the camera in real time; and a speaker selectively emitting a warning announcement to the control part. [0004] The document WO 2019/058379 A1, entitled “SYSTEMS AND METHODS FOR PREVENTING WORK ACCIDENTS”, published on March 28, 2019, describes systems and methods used for preventing work accidents. The system determines at least one characteristic of a task scheduled to occur in an industrial environment. The system uses first synergy data from at least three types of safety-related information and at least one task characteristic to determine that a predicted risk score for the scheduled task is below a first threshold. After that, the system obtains real-time information indicative of human error from at least one employee associated with the task. The system uses second synergy data from at least three types of safety-related information and real-time information to determine if an actual risk score for the task has changed relative to the predicted risk score. When the actual risk score for the task is above a second threshold, the system initiates corrective action to prevent an accident. [0005] US patent 10,643,080 B2, entitled “ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING-BASED WORK FORCE SAFETY”, published on May 5, 2020, describes a workplace safety method for an industrial processing facility comprising an artificial intelligence and image processing-based work safety system that receives image data from cameras viewing work zones, including a camera showing an individual in a work zone. From the image data, the individual's current location is determined. A current minimum requirement for Personal Protective Equipment (PPE) is determined based on the current location, referencing a database of work environments with hazardous conditions and determining the current work environment with a current hazardous condition and the PPE required for the current hazardous condition. The image data is analyzed to identify the PPE currently worn by the individual. When it is determined that an individual is not currently meeting PPE requirements, by comparing the PPE currently being used with the minimum PPE requirements, an alert will be generated in response to the unsafe condition. [0006] US patent 2012/0146789 A1, entitled “AUTOMATED MONITORING AND CONTROL OF SAFETY IN A PRODUCTION AREA”, published on June 14, 2012, describes a machine vision process that monitors and controls safe work practices in a production area by capturing and processing image data relating to personal protective equipment (PPE) worn by individuals, the movement of various articles, and the conformations related to the movement of individuals and other objects in the production area. The data is analyzed to determine if there is a violation of a predetermined minimum image, movement, or conformation value for a predetermined time period. The determination of a safety violation triggers the activation of a safety control device computer. [0007] However, a problem with the state of the art is the fact that it uses only two-dimensional cameras to capture the images that will be processed, meaning that image processing is done in only two spatial coordinates (width and length) and in the three color coordinates (red, green, and blue). [0008] An additional problem with the state of the art is that it does not take into account the actions that are performed by people in a workplace. SUMMARY OF THE INVENTION [0009] One objective of the present invention is to provide a method for preventing workplace accidents in real time based on three-dimensional images that avoids the problems of the prior art. [0010] This objectiv