Rhyton Intelligent EHS

Detects and Reports unsafe conditions

Introducing Artificial Intelligence in Construction

More than 357,000 people die of work-related accidents and workplace injuries every year. In the oil and gas industry, 70 percent of the incidents are due to human error.
Rhyton Intelligent EHS is a product that uses artificial intelligence in construction to prevent the occurrence of accidents and to achieve improvement in construction safety. This product detects unsafe and complex conditions by processing CCTV images and provides timely information to the exposed person to prevent adverse events.
Also, our system automatically generates the reports needed by EHS managers and authorities using Machine Vision technology to provide the safety team of construction sites with more helpful and accurate information on employee safety.


Thousands of people are busy working in extreme weather conditions during the construction of a major project.

Each year, human errors may put an end to a project, demoralize personnel or increase project implementation costs. For example, according to Fatality Assessment and Control Evaluation (FACE), each day, 12 to 13 U.S. workers die as a result of a traumatic injury on the job.

People are not sensors, operators or machines. Working conditions, mental conditions, and human relations affect their performance. The difficulty of working in inappropriate weather conditions, unsafe situations, fatigue or lack of knowledge are among the human factors that increase the possibility of accidents. Most important incidents include falls from a height, being struck by a moving vehicle and being struck by a moving, including flying or falling object. However, the unsafe conditions in a project are very extensive. Therefore, permanent monitoring and prevention of incidents are almost impossible.

Although implementing EHS management systems have had a significant impact on reducing incidents, human teams located in the projects do not have the resource to continuously supervise all the employees.

On the other hand, the mistakes made by the HSE employees themselves, or their waiver of errors (caused by human relations) have led to accidents.

So, how is it possible prevent the occurrence of accidents economically so that we have permanent monitoring of all employees and the identified risks in the project environment to prevent the occurrence of incidents?


It is worth mentioning, providing daily reports in huge projects require a large number of employees for observation and data collection. Presently, employees collect data manually and managers demand reports daily or even hourly to make important decisions to improve safety on job sites.

Another grave problem in large projects is not only the identification of unsafe conditions and near misses, but also the timely prevention of incidents and notifying all the stakeholders of the danger at the right time. Providing timely warnings of unsafe conditions to project managers and HSE managers will allow effective decision-making at the right time to prevent future accidents. Therefore, the most important problems which Rhyton Intelligent EHS tries to solve through artificial intelligence include:

  1. Establish 24/7 monitoring throughout the project to identify unsafe conditions.
  2. Constant data collection from the project site.
  3. Preventing human error and taking preventive measures.
  4. Timely informing the project stockholders on important events before their occurrence.
  5. Generate standard reports such as anomalies from the project.


Rhyton Intelligent EHS provides tailored solutions for oil and gas workplace where security and surveillance are critical.

This software is a compound AI-based computer vision system to detect and report unsafe conditions by analyzing camera streams and trigger alarms to prevent near misses.

We focus on major unsafe conditions in construction sites including:

  • Unsafe conditions of working at height

According to OSHA, falls are the leading cause of death in construction.
Rhyton Intelligent EHS automatically detects the following conditions:

  1. The system automatically identifies the standard equipment required to enter the work area at height, including helmets and harnesses.
  2. The system identifies the entry of unauthorized persons to the work area, and informs the HSE Director.
  3. The system detects whether or not the scaffold is secured in accordance with the standard tags installed at the entrance of each section and prevents people from entering unsafe scaffolds.
  4. The system triggers an alarm if people approach unsecured edges.
  5. The system detects objects placed on the floor of the scaffolding floors and sends warnings.
  • Unsafe Electrical Installations

In 2016, one out of every 34 killed in safety events was a case of non-compliance with safety in the field of electrical equipment. Rhyton Intelligent EHS system, with ongoing monitoring and safety monitoring in this area, helps prevent incidents.

  1. The system identifies unauthorized access to the restricted area(s) and issues an alert.
  2. The system identifies personnel approaching the non-secure electrical area(s) and informs the managers.
  3. Personal Safety Equipment Systems controls the licensed people approaching the equipment and area of electricity and, if not equipped with appropriate safety equipment, will issue alerts.
  • Unsafe Loading Operations

According to the BLS over the past 4 years, 220 people were killed due to incidents of non-compliance with safety regulations in the United States while dealing with loading conditions. Of this, more than 50 percent of the incident occurred in dealing with the object in motion. Controlling permissible loading equipment, the safety of loading, and the use of appropriate equipment are control measures that reduce the possibility of incidents.
Our system prevents accidents with permanent monitoring of loading equipment and areas where loading operations are carried out. Rhyton Intelligent EHS supports the following conditions:

  1. Car and truck equipment should have TAG health and safety and must also operate within the Intelligent EHS cameras. The system checks the device’s safety token and if a device has no sign or an abnormal sign is detected, an alert will be issued.
  2. The system controls the loading radius according to the definition of the hazardous area for each loading area and prevents the occurrence of an incident if a person other than the authorized personnel is present in the area.
  3. The system issues a warning to prevent accidents by detecting crane movements during unauthorized hours.
  4. The system alerts if it detects crane’s movement while no personnel is present in the specified area.
  • Unsafe Traffic Conditions

According to the NIOSH report in 2014, one of the major cause of accidents in the oil and gas industry was road accidents. Controlling vehicle traffic, preventing unauthorized speed, moving on a planned track, and controlling how cars are being parked will be monitored by Rhyton Intelligent EHS.

  1. The system tracks the speed of vehicles and reports if the drivers exceed the speed limit.
  2. The system detects and reports the overtaking of vehicles in the operation area.
  3. The system recognized unauthorized parking in the designated areas.
  4. The system issues a warning if it spots a vehicle which is not in the list of authorized vehicles.
  • Unsafe Night Shift Conditions

Fatigue costs U.S. employers more than $130 billion a year in lost productivity, and costs the average American company with 1,000 employees $1 million a year, according to the National Safety Council.
Rhyton Intelligent EHS system detects night shifts and applies standard controls in the night shift to quickly detect hazards to prevent accidents.
The following describes the predefined control measures in our system:

  1. The system controls the presence of sufficient light in the operating and sensitive areas and, in the event of an assessment, the light signal is reduced to the specified level.
  2. The system identifies the presence of unauthorized persons, vehicles or animals in prohibited areas during the night and will notify the designated control measures accordingly.
  3. The system identifies the people approaching the risky areas and alerts them of the hazards.
  4. Traffic regulations are monitored during the night shift.
  • Unsafe Excavation Operations

The excavation hazard rate is 112% higher than the general rate of construction risk. And many accidents caused by non-observance of safety in the excavation process, such as falling into the pit, can be prevented by creating a permanent monitoring system such as Rhyton Intelligent EHS. In our system, the following processes are anticipated to identify hazards before the incidents:

  1. The system will measure the distance of the excavation machinery from the digging edge and issue a warning if it is less than optimal.
  2. The system identifies and alerts the people of the excavation area, and also prevents unauthorized access to the area.
  3. The system controls access to the area based on working shifts. For example during the night shift access to the excavation area is limited.
  4. The system identifies and approves the approaching vehicles to the area.
  5. Personal protective equipment such as helmet, shoes and work clothes are rigorously monitored.
  6. The system identifies heavy machinery and alerts if they enter the excavation area.

Detection Models

Engine Overview

Rhyton Intelligent EHS detection engine plays a crucial part in recognizing the concepts contained in the images. The Intelligent EHS system can recognize and identify human-defined concepts through the use of multiple machine vision technologies, including deep learning.

The Intelligent EHS system has made it possible for different detection engines to be applied to camera images to make hardware resources optimally used for the main purpose.

An individual safety equipment detection engine is a set of motors which, by processing images of people, detects whether equipment such as helmets, shoes, gloves and industrial glasses has been used by the personnel. Also, safety features such as color and type are identified and used in subsequent processes.

Unauthorized Access Detection

Our system identifies the presence of unauthorized persons and equipment in the context of the range determined by the HSE expert.

HSE Tags Detection

HSE tags and color tags are used to determine the security status of different locations in projects. The system identifies the predefined standard tags and intelligently performs control measures for the location concerning the installed tags.

Detecting Objects

The Intelligent EHS system can detect objects on the ground with a specific color field. In this engine, it does not recognize the type of object on the ground, but only the presence of an object in a specified location.

Vehicle Detection

The system recognizes all kinds of heavy and ordinary vehicles depending on their type. Currently, the system identifies more than 50 vehicle types, colors, and models.

Car Plate Identification

After detecting the vehicles, the Intelligent EHS system detects its license plate information and triggers an alarm if the license is not on the authorization list.

Speed Control

The system controls the speed of cars or other vehicles using the image processing method.

Smoke and Fire Detection

Early warning smoke detectors are designed to detect a fire during the early stages (less than 0.5 seconds) using deep learning.



The Intelligent EHS system has been developed to provide the ability to consider project conditions and to adapt to different situations. We provide tailored solutions regarding your project security.



The system is designed to support all project’s dimensions. It is possible to limit the system’s implementation and then expand it to the level of any project.

Mobile app


Today’s smartphones provide quick, fast, and efficient communication for everyone. Intelligent EHS has made it easier for employees and administrators to access reports, pictures, and events using the mobile app. Furthermore, the Intelligent EHS app can send warnings if the safety rules are being violated.

Frequently Asked Questions

1. What types of cameras are connected to Intelligent EHS?
The system connects to CCTV that supports the H264 protocol and requires the minimum HD image quality.

2. Does Intelligent EHS offer Cloud-Based services?
Intelligent EHS currently supports only on premise installation.

3. What hardware is needed to use Intelligent EHS?
The hardware requirements of Intelligent EHS varies depending on the number of cameras and user safety modules. After the initial evaluation, the hardware requirements will be announced.

4. How long images are stored in Rhyton Intelligent EHS database?
Image storage in the system varies according to the memory provided by the customer.

5. How many cameras does the Intelligent EHS support?
Rhyton Intelligent EHS supports up to 50 cameras in the basic version and up to 1,000 cameras in professional editions.

6. Does Intelligent EHS support all the risks and control measures introduced in international standards?
There are currently a lot of risks in the six domains that will be covered in subsequent versions of other domains and more will be covered in the future.

7. Does Rhyton Intelligent EHS support face detection?
Currently, face detection is not supported. But in the next versions, we may add this feature.

8. Does Intelligent EHS work with night vision cameras?
In the first version, the system is capable of performing its tasks only with ordinary cameras and with the supply of adequate light.

9. Is it possible to add new reports and dashboards to the system?
Given the users’ need, it is possible to add new reports in the system.


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