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Possibilities of Computer Vision in Safety:An introduction and discussion

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Contents

Computer Vision In Safety
How Computer Vision can help solve safety issues?
Computer Vision models
  • Equipment for personal protection
  •  Area control
  • Vehicle controls
  • Behavioral safety
  • Pandemic control measures
How Does Construction Computer Vision Operate?
Solutions for Industrial Safety Sub-Divisions
  • Safety in Production and Process
  • Safety of Materials
  • Fire Protection
  • Electrical Security
CONCLUSION
Who Are We?
 
 
 
 
 
 
 
 

More and more, AI is being promoted as a solution to stop the estimated 340 million occupational accidents that happen every day in the world. Startups are using machine learning to discover safety risks in camera feeds from industrial and manufacturing sites, notifying management when staff members commit a risky error. Although promotional materials extol their potential to save lives, the technologies pose a threat to workers’ privacy because they are unaware that their actions are being monitored. While employers may inform employees that they are being watched on camera at work, it is unknown whether companies installing or supplying AI-powered health and safety platforms are completely open about the tools’ capabilities.

Computer Vision In Safety

The use of computer vision in the safety sector is one of the technology’s most fascinating and useful applications. Safety relied largely for a long time on a reactive strategy in which each accident or injury was individually responded to using lessons learned from the previous incident. Even though this approach finally results in increased safety, it takes an incident or injury for the safety committee to figure out how to prevent it. Computer vision technology offers a method for our risk assessments to advance in the same way by taking a proactive stance and reducing the risk of accidents and injuries by avoiding them before they happen. The insights it offers are one of the most beneficial elements of using computer vision in safety. a lot of safety activities Leading indicators are useful pieces of information that reveal a safety concern before an incident happens. Leading indicators and AI-enabled computer vision go hand in hand. Leading indicators can be created with the help of the accurate, real-time data that the AI-enabled computer vision collects. Leading indicators make it possible to address potential risks before they result in an occurrence through preventative action.

How Computer Vision can help solve safety issues?

To keep an eye on employees and record accidents, building sites must have security cameras. More than you would imagine, computer vision can assist you to increase workplace safety. You may train a computer vision model to identify and characterize how this technology can notify you or warn staff by accumulating the data your cameras process each day.


Computer Vision models

 

 

  1.  Equipment for personal protection 

The model can be taught to define it using a lot of data, depending on the PPE you use in your business. The model swiftly analyses your staff and determines what tools and personal safety gear they are missing. Sometimes timely alerting workers to their equipment can prevent fatalities and lower the likelihood of mishaps

Frequently used equipment:

● Apron

● Glasses

● Hard hat

● Hearing muff

● Mask

● Vest

● Sleeve

● Gloves

 2.  Area control:

It is frequently required to establish dangerous zones at building sites and set a worker occupancy limit there. You can stop employees from going into restricted regions using this strategy.

Frequently used models:

● Crane area

● Light controls

● Line of fire

● Machine area controls

● Machine-worker restricted area

● Maximum/minimum worker count

● Static delimitation area

● Time-limited area

  3 .Vehicle controls: 

Verify that drivers are using seat belts, following the designated routes, and moving at a safe speed.

Frequently used models:

● Dynamic delimitation area

● Speed limit

● Vehicle operation zone

● Vehicle PPE compliance

● Vehicle restricted controls

  4.  Behavioral safety: 

Avert mishaps and infractions of the law in risky situations like the firing line or operating at heights.

Frequently used models:

● Pedestrian way violation

● Restricted height

● Stairs banister usage

● Climbing

● Contact with electricity

● Grouping

  5. Pandemic control measures:

 Controlling social distance and time has been extremely crucial in the modern world since the introduction of COVID-19. You can check your staff for masks and other equipment using the computer vision model.

Frequently used models:

● Mask detection

● Social distance

● Time count in 

How Does Construction Computer Vision Operate?

Although computer vision is a complicated subject that takes years to fully master, it’s crucial to have a working knowledge of it if you’re thinking about incorporating it into your company’s workflow. Data capture, data processing (image processing), and semantic interpretation are the three fundamental steps in the process. A computer must first be able to see or obtain visual data in technical terms. Computers can achieve this by collecting real-time data with the help of 2D (surveillance cameras, webcams, smartphones, etc.), 3D (stereo and RGB-D cameras, such as Microsoft Kinect), or 3D point clouds (laser scanners) technologies. Commercial computer vision systems, like cur Flow, give you a variety of options, letting you choose between using existing equipment or purchasing new equipment. The computer then begins to interpret the scene. Through scene reconstruction, position estimation, object detection, and activity recognition, it now employs deep learning to generate actionable insights. To put it another way, it “looks” at the simplified models and determines how they relate to one another to comprehend what is occurring on the construction site. For example, it accepts flat areas as work areas, skeletons with a mechanical form as machinery, and skeletons that fit a human form as people. Secondly, if a roller is found in the loading area despite not being supposed to be there, it detects that there is a risk of collision and immediately notifies a worker, supervisor, or project manager so they may move the roller and resolve the issue:

Solutions for Industrial Safety Sub-Divisions

Industrial safety is defined as including a number of topics by the specialist website Safepoedia. We will go over the potential remedies that computer vision can provide for each of them.

● Safety in Production and Process:

 The majority of production facilities currently have a CCTV system in place. This real-time data could be used by a computer vision algorithm to spot anomalies. For instance, at particular locations where employees are not permitted because of moving parts or other risks. The process can be stopped if such an occurrence is seen on live video. Automation of production procedures is possible thanks to machine vision. Since no one needs to be in hazardous locations, efficiency goes up and the workplace becomes safer. For instance, things can be processed or packaged according to their final destination without the assistance of a human operator when barcodes are used.

● Safety of Materials: 

On production lines, automatic scanners can be deployed. These can spot any problems in the raw materials used, including scratches, uneven paint coats, and even tiny flaws that are invisible to the unaided eye but could have disastrous effects on the finished product. IoT devices can perform this task even faster than manual quality controls can. Computer vision specialists at Second‐line Labs explained how multi-object detection might speed up and improve this process for various components of the same object.

● Fire Protection:

 All industrial areas already include heat and smoke sensors as basic safety equipment. Infrared cameras and other preventative measures could be added to these. An infrared camera, for instance, can detect a gadget that overheats and starts a fire so that it can be put out before it poses a risk.

● Electrical Security:

 A inexpensive and efficient technique to make sure that all electrical circuits are working properly is to use IoT sensors. These may gather information on the strain, voltage, and the Joule effect, and can guard against overcharging power outages, and even short-circuit-related fires. Computer vision is able to examine a variety of electrical circuit signals and spot abnormal activity 

❖ CONCLUSION:

The installation of video surveillance systems is the best way to create safer workplaces. The grade of internal security staff can be raised with the help of cutting-edge video surveillance equipment, raising the bar for work at every level. The management of workplace surroundings is increasingly relying on computer vision. We have observed it being used, for instance, in industries to monitor hazardous gases, inside tunnels to watch movement in real-time, and at a facility handling toxic chemicals. With our People Tracking and Detection Solutions, Audience Intelligence helps you to monitor audience impressions and preserve privacy. We employ state-of-the-art computer vision techniques that enable us to instantly deduce a person’s demographics, activities, and intent. Our models are made to run as efficiently as possible on cheap computing and camera chipsets.

Who Are We?

Apture is a no-code computer vision deployment platform that allows the integration of AI-based algorithms to improve monitoring, inspections, and automated analysis throughout a workplace in multiple industries. Our core focus remains on improving the safety, security, and productivity of an environment through computer vision. We offer products in multiple categories such as EHS, security, inspections, expressions, etc. that can be leveraged by businesses in a variety of industries to stay compliant, and safe and increase ROI with AI. Have a look at our platform and get a free trial today.

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