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.
This technology is hardware agnostic and is compatible with any IP camera or network video recorder to retrieve and analyze the video feed in real-time and provide alerts that can be sent to various messaging platforms.
A server is deployed to provide the full spectrum of services such as running the software, triggering alerts, as well as the dashboard. This technology is enabled by the large construction datasets that powers object detection and tracking. The current range of detection includes scenarios such as barricade removal, workers working at height or under lifted load, safe distancing, and presence of workers in high-risk zones, PPE and more. Besides the detection of high-risk scenarios, this technology can also track productivity insights such as construction floor progress or precast lifting times.
The deployment period for an existing use-case will take within 2 to 4 weeks and newer use-cases will vary from 2 to 6 weeks depending on the complexity of detection.
This technology has viable use-cases in providing automated safety monitoring and alerting to other industries such as manufacturing, maritime, oil and gas as well as new use-cases for the construction industry.
Medium to large construction projects are often delayed and experience cost overruns, which can be significantly improved through significant productivity gains, cost savings and early risk identification just by enabling end users to have a better understanding of their operations wherever they are which would make this a very attractive solution.
Main value propositions are: