Health & Safety Management

Urban governance involves the management and administration of cities to ensure efficient delivery of services, infrastructure development, and quality of life for residents. It plays a crucial role in addressing urban challenges and shaping the future of cities. The integration of data analytics in urban governance enhances decision-making processes by providing valuable insights from vast datasets. This synergy of urban governance and data analytics is pivotal in advancing Smart City Solutions for sustainable and effective city management. In this blog, we will understand urban governance through data analytics.  Understanding Urban Governance Urban governance refers to the process of managing cities, encompassing various governmental and administrative activities aimed at ensuring efficient functioning and development. Effective governance is crucial for city development and citizen welfare, as it influences policies, infrastructure, and services that impact residents' daily...

A Safety Management System is a systematic approach to managing safety, including organizational structures, accountabilities, policies, and procedures. Implementing an SMS is crucial for ensuring workplace security and compliance. It helps identify and mitigate risks, enhances operational efficiency, and fosters a culture of safety. By having a robust management system, organizations can protect their employees, meet regulatory requirements, and minimize the likelihood of accidents and incidents. In this blog, we will understand different steps to develop and implement safety management.  Initial Planning To develop effective planning, start by assessing current safety practices through a thorough review of existing procedures and policies, identifying areas for improvement. Subsequently, define clear safety objectives and goals for the organization, ensuring they adhere to the SMART criteria—Specific, Measurable, Achievable, Relevant, and Time-bound. This structured approach ...

Nowadays, it is more crucial than ever to guarantee safety and security. Barricades are essential for keeping the peace and shielding people from potential dangers in areas such as building sites, event venues, and restricted areas. How can one make sure that the barricades are in place? The monitoring system for missing barricades detection is a technological innovation that has the potential to completely transform safety management. The AI navigation system of viAct alerts the stakeholders if the barricades are missing through instant alerts. In order to control traffic, safeguard employees, and secure restricted areas, barricades are necessary. However, they may be open to loss, misplacement, or unapproved removal. Manual checks are a common component of traditional barrier monitoring techniques, but they take time and are susceptible to human error. Here's where technology comes into play, providing a more dependable and effective means of guaranteeing that barricades a...

  Industry 4.0 is evolving with robotics, Artificial Intelligence, big data analysis, and cloud  computing. The fourth industrial revolution is efficiently improving and minimizing  operation costs. Factory utilization and labor productivity are also improving. viAct  modernizes real-time data by analyzing data processes with video analytics and thorough  enhancement solutions.  Smart sensors collect analysis data to predict outcomes and detect actions. It also acts as  gathering data for visual information and about the physical world for factors such as  pressure and vibration. Machine vision systems are networked and devices are sent in a  cycle for continuous improvement. Computer vision is bringing different methods for  processing and analysis of the real world. It is processing information through combining  guide devices in the function execution. Computer vision in Industry 4.0 tries to emulate  human vision based on...

According to the Industrial Revolution, computer vision for predictive maintenance and analysis of data allows manufacturers to build a great strategy that merges data approaches to simplify manufacturing processes. Manufacturers are applying predictive modeling to prevent failures and defects, which helps them improve the reliability of different processes.  viAct provides early detection of defects through scenario-based Artificial Intelligence. The outgrowth of predictive maintenance has increased in recent years as there have been many advancements. This prevents machine breakdown and provides many benefits for the  manufacturing process.  Requirement for Predictive Maintenance  As consumer expectations for items that are of high quality are rising, consistency is necessary to sustain that level of quality. Many companies are automating their production lines to remove human mistakes so that duplicate tasks can be performed by machines. A computer vision-e...

Every year, there are so many deaths due to workplace accidents, and yet only some are recorded. Environmental health and safety teams generally function with an improper understanding of their safety environment because they are unable to identify possible workplace hazards before they start. The merged effects of unreported actions and missing situations might be destructive. viAct involves great progress in tracking through computer vision and lower manpower costs. When workers fail to use safety ropes when working at a height, the AI-powered system immediately notifies nearby and distant stakeholders so they can take the appropriate action in advance. Software for environmental health and safety teams is still old, even in spite of the growing complexity of regulatory environments and growing awareness of workplace safety worldwide. By automating potential hazard detection and producing real-time alerts, computer vision has the capability to completely transform workplace safe...