Facility Management

High-risk industrial sectors, notably the chemical industry, frequently experience severe safety incidents during production. Traditional risk management approaches, heavily reliant on manual efforts, often suffer from inadequate supervision, incomplete coverage, and suboptimal control. Addressing these challenges, the tech provider offers an advanced solution combining artificial intelligence technologies such as computer vision, the Internet of Things (IoT), and big data analytics. By utilizing existing enterprise cameras and sophisticated algorithmic servers, it establishes a video-based intelligent analysis platform for hidden risk management. This platform enhances overall safety through comprehensive risk perception, proactive hazard identification, predictive warnings, and visual decision-making aids, aiming for widespread and intelligent safety management across high-risk industrial environments.

The proprietary solution is a data acquisition and analytics system that employs non-intrusive clip-on current transformers which are easily installed at electrical distribution boards. This enables AI algorithms to detect subtle changes and patterns in the electrical signature of each connected asset or device. Monitoring electrical assets has traditionally been complex and costly, requiring multiple sensors and expensive systems. This has led to widespread under-monitoring,  resulting in expensive maintenance and significant energy inefficiencies. The solution extracts a proprietary set of deep energy data from electrical devices, assets, and machines, and can be easily installed on both new and existing electrical assets or building infrastructure. It offers real-time monitoring and reporting on important metrics such as real-time power usage effectiveness (PUE) and enables automation of sustainability reporting. The technology offers an industry-changing solution: a non-intrusive cost efficient AI-powered monitoring system that is easy to install. It generates a proprietary data set that fuels machine learning algorithms, enhancing efficiency and reducing total cost of ownership for all connected assets. The technology owner is seeking test-bedding partnerships with real estate businesses, data centre companies or service providers, facility management businesses.

Current methods of monitoring construction safety and productivity are tedious, costly and prone to human errors. Resulting in operations being non-compliant, dangerous and inefficient which leads to project delays, cost overruns and even reputational damage. This technology offers an enhanced safety and productivity tracking solution in the construction industry by leveraging on video analytics to detect safety hazards and high-risk scenarios as well as productivity insights. It provides actionable insights in the form of alerts, charts and reports to enable safety officers and project managers to make better-informed decisions for their operations.