The Key to Smarter Project Control Centers

In a world where industrial projects are becoming more complex, ensuring safety, efficiency, and control has never been more important. Saudi Arabia, with its rapid industrial growth, is at the forefront of adopting innovative solutions that provide security and efficiency in managing projects.

Today, project managers are shifting from traditional methods to smart project control systems powered by AI video analytics. With the use of AI in Project Control Center, there are real-time insights, proactive management, and predictive safety measures applicable to critical scenarios.

In short, AI in project control centers is transforming how operations are managed, monitored, and safeguarded.

Imagine running a major construction site, where progress reports are delayed, risks are detected only after they occur, and manual tracking of safety violations is time-consuming. This was the norm with traditional project control centers — reactive, slow, and often prone to human error.

Now try to fit in a smart project control center where AI continuously scans, analyzes, and reports in real-time. This isn’t just theoretical—this is happening across Saudi Arabia’s most complex projects.

In construction, for example, AI-powered project monitoring can spot missing PPE detection or other safety breaches instantly, allowing EHS teams to act fast. In case of complex hazards where stakes are even higher, AI in project control center monitors risks like confined space complexities, work at height safety or mechanical failures, and fleet management in real-time, preventing potential disasters.

Smart project control centers can automatically track equipment performance, flagging any risks before they become costly shutdowns. These construction project management tools help to curate the tasks under a project in an organized and efficient manner.

The difference? With smart project control centers, you’re no longer managing risks—you’re preventing them.

When it comes to AI in project control centers, viAct is a game changer. While AI video analytics stands at the forefront of this solution, the integration of advanced AI-powered tools like Generative AI and computer vision is making the management of risk and undertaking of preventive actions swifter.

viAct’s project control center enables continuous monitoring and prediction of risks. It consists of an AI system that not only detects a worker not wearing their safety harness but also simulates what could happen in the next 30 minutes if the issue isn’t corrected. That’s the power of Generative AI in action.

Here is how viAct’s AI-powered project monitoring is guarded –

• AI Video Analytics: viAct’s AI video analytics track thousands of moving parts, from workers to heavy machinery, ensuring every action is compliant and safe. Using the existing CCTV cameras with a minimum 2 MP resolution and connecting them using an RTSP link ensures ease and effective monitoring simultaneously.

• Computer Vision: With this technology, viAct’s system monitors everything on the ground—PPE violations, unsafe behavior, equipment malfunctions—ensuring nothing is missed. The high-quality video feed with advanced anomaly detection ability leads to zero blind spots across worksites.

• Generative AI: Predictive capabilities increase through natural language processing and EHS teams don’t just get alerts after something happens—they get warnings before something can go wrong, based on real-time data.

The integration of  AI-powered algorithms and Large Language Modelling (LLM) based processing of vast amounts of project data has given rise to several added benefits for workplace safety that are lacking in a traditional project control method.

viAct’s AI in project control centers ensures that work sites adhere to safety regulations and standards in real time. Whether it’s ensuring workers are wearing the correct PPE or monitoring site entry restrictions, the system continuously checks for compliance.

For example, if a worker enters a danger zone without the necessary protective gear, the system instantly flags the violation and sends an alert.

viAct’s Generative AI-enabled chatbot, viGent is an LLM-based conversational AI solution that helps to communicate with the workers about any compliance requirements without the intervention of the EHS teams.

Due to the processing of vast amounts of data, the safety chatbot allows the communication of any revision in the safety requirement instantly.

Worksites are dynamic environments where safety hazards can emerge quickly. viAct’s AI-powered project monitoring provides proactive safety alerts and notifications whenever risks are detected.

For instance, if a crane operator is approaching a high-traffic pedestrian area, the system sends an instant alert to prevent a potential accident.

Intensive Projects require collaboration between multiple teams and systems. In order to ensure workplace safety, the project managers require the establishment of a proper network among the workers, supervisors, and the EHS teams.

viAct AI in project control centers integrates data from IoT devices, sensors, and other project management tools to provide a holistic view of site activities. This allows site managers to make informed decisions based on real-time data from different sources—whether it’s from security cameras, machinery logs, or weather sensors.

viAct offers a customizable dynamic dashboard – viHUB that displays live data on various safety and compliance metrics. Project managers can track KPIs, project progress, and safety performance all in one place. The projection of trends and forecasts is just a click away on this platform.

For example, viHUB can highlight areas where safety incidents have spiked, allowing EHS managers to focus attention on those high-risk zones.

By using AI-driven heat maps through AI in Project Control Center, viAct identifies high-risk areas on sites where accidents are more likely to occur.

Say the investigation from the CCTV cameras on the site shows visual heat maps around heavy equipment zones and scaffolding areas. It alerts EHS managers to allocate more safety resources and personnel to those areas while specifying the proactive measures for a two-week-long work schedule.

Managing vehicles and equipment efficiently is key to preventing incidents like collisions or equipment failure. Workplace safety in worksites such as construction can be increased up to 95% when AI-driven monitoring solutions are applied.

With such safety management systems, fleet and equipment usage is tracked around the clock, offering data on machinery conditions, driver behavior, and potential hazards.

The use of AI in project control centers not only benefits the project managers in aligning their day-to-day tasks and reporting, but it also inputs largely to the EHS managers and safety teams for the safety and security of the workers.

For EHS teams, the job is not just about ensuring compliance—it’s about saving lives, preventing accidents, and making work environments safer. In a smart project control center, AI works hand-in-hand with EHS teams to reduce response times, manage crises, and ensure compliance across the board.

viAct’s AI-powered monitoring system doesn’t just flag safety breaches; it categorizes them by severity, helps prioritize responses, and even recommends immediate corrective actions. It implies the Future of Project Control Centers with AI Video Analytics Role in Smart Construction

Imagine a construction site in Saudi Arabia where an EHS manager receives an instant alert about unsafe scaffolding just as a worker begins their shift. This is the level of support smart project control centers offer.

In the upcoming time, the use of AI in project control centers will be a necessity for maintaining workplace safety, and compliance, preventing hazards, and increasing productivity. viAct’s smart project control centers use an array of innovative solutions that make it 10 times more accurate and allow for a 90% cheaper method of monitoring.

Let’s learn more with quick FAQs

AI-powered project control centers provide real-time insights, predictive safety measures, and continuous monitoring, allowing faster responses and proactive management. This reduces accidents, improves compliance, and boosts operational efficiency.

With features like AI video analytics, Generative AI, Safety Chatbots, and Computer vision technology, HSE teams can detect potential hazards, track compliance with safety regulations, and monitor worker behavior, through the integration of data from various sources.

Choosing viAct’s AI in project control centers for construction safety in Saudi Arabia is essential for enhancing workplace safety and operational efficiency through accurate compliance management. The easy integration into existing CCTV systems of the site provides a 50% improvement in machinery management and a 95% reduction in safety accidents.

Want to explore the future of safety management with

viAct’s AI in project control centers?