Invigilo reshapes Singapore construction safety with AI-powered real-time hazard detection, cross-platform data, and smart safety reporting.
Our goal at Invigilo is to reshape construction safety in Singapore through our AI-enabled technologies. The construction industry in Singapore is expected to attain a CAGR (Compound Annual Growth Rate) of 2.5% to reach S$22.5 billion by 2024. However,
Recently, the policymakers aiming to improve Workplace Safety and Health (WSH) have noticed the potential of deep learning & the use of Artificial Intelligence (AI). They are updating their plans on how to radically augment inspection by employing deep learning algorithms to identify breaches, among many other features, while consequently improving productivity.
Yet, as of today, adoption rates of AI and deep learning safety inspection solutions are low. There are two distinct reasons for this:
Here at Invigilo, we believe that construction safety in Singapore should be of the highest standard without compromising productivity at the same time. To fully realise improvements in safety and growth, the current traditional practices have to be augmented with digital advancements.
These solutions aim to increase safety awareness & productivity on-site while answering the industry problems mentioned above:
By harnessing cross platform inspection, we can analyse data sets collected from existing CCTV cameras with safety inspectors on the ground sampling data with their phones. Their insights will be linked to be processed by data analytical tools. This processing is streamlined by automatic hazard annotation and caption generation.
Data is very important for deep learning. So, the more data collected, the more accurate the identification becomes, empowering companies to harness insights and preventing safety breaches.
Through video analytics from cross platform data collection, real-time identification of hazards can be conducted on a larger scale compared to any human operator ever.
We will be able to actively identify safety violations such as:
… all from pre-installed camera systems and photo/video analysis.
This is real-time accident prevention at a low cost, while improving construction safety in Singapore.
Hazards and compliance to regulations can be processed, categorised and identified from the collection of images and video data.
Safety audit reports will be generated to allow for intuitive on-demand analysis and this is customisable to the client's format and standards requested by authorities.
Through these solutions, we aim to empower companies to meet their safety goals and ensure standards are upheld as growth increases.
A practical playbook that turns safety culture into repeatable behaviours. Pair IOGP Life-Saving Rules and Start Work Checks with AI vision on existing cameras, digital PTW, LoRaWAN sensors and digital twins; track a small set of leading indicators, run a four-week pilot, and scale with privacy-first governance.
Learn how to build a weekly safety dashboard from systems you already have, then layer AI video analytics on existing CCTV to quantify PPE and proximity risks by shift and zone. The article covers schema design, data contracts, quality checks, a practical pilot plan, and how to link improvements to reduced claims, downtime and penalties. Templates for ISO 45001 or OSHA exports and vendor validation steps are included.
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