Construction Site Safety
Edge AI Video Analytics for Monitoring Site Safety
Challenge Statement Owner:
Exyte is a global leader in the design, engineering, and delivery of facilities for high-tech industries. With a history of more than 100 years, they have developed a unique expertise in controlled and regulated environments. Exyte has a truly global footprint, serving the most technically demanding clients in markets such as semiconductors, batteries, pharmaceuticals, biotechnology, and data centres. They offer a full range of services from consulting to the managing of turnkey solutions – delivered to the highest quality and safety standards.
Background
Video analytics systems for construction have been quite effective in monitoring site operations for safety, productivity, or security and providing real-time actionable insights for better decision-making.
However, deploying these solutions at construction sites presents significant challenges, primarily stemming from the intricate networking required to transmit CCTV streams reliably and in a cost-effective manner either through 4G/5G, wireless bridges, or mesh networks.
The nature of construction environments, characterised by a limited clear line of sight and numerous metallic objects, severely impedes conventional wireless or wired transmission methods. As a result, ensuring seamless connectivity for real-time monitoring and analysis becomes exceedingly difficult, hindering the efficiency and effectiveness of the Video Analytics systems.
Exyte Singapore is looking for an innovative solution that can significantly diminish the need to set up comprehensive and costly networks across entire project sites, particularly in remote or hard-to-reach areas. They would like to achieve the use of minimal network infrastructure to transmit data from the device to the cloud, to promptly send out notifications and alerts when site safety breaches occur.
The Challenge
Exyte Singapore is looking for a solution that can run custom safety video analytics directly at the edge (for example, NVIDIA Jetson), seamlessly integrated with the camera.
Requirements
The solution should encompass real-time video streaming for remote site oversight, facilitated by a robust command and control system. Furthermore, it must integrate AI-powered analytics directly at the edge device, enabling proactive detection and response to safety breaches.
The solution should:
- Encompass a self-contained unit furnished with essential components, including cameras and supporting infrastructure (for example, poles, waterproof enclosures, and power regulators) for seamless operation.
- Include provisions for cooling the edge devices.
- Seamlessly integrate with any IP camera, regardless of the brand, to facilitate the execution of custom safety video analytics use cases.
- Enable the deployment of custom AI models and safety use cases directly onto the edge AI device.
- On the chosen edge device, demonstrate the ability to process a minimum of 2 camera streams simultaneously in real-time, with each stream supporting at least 3 distinct AI-powered safety monitoring use cases.
- Enable the edge AI functionality to maintain continuous analysis even during periods of low to zero internet connectivity, transmitting alert information once the signal is restored.
- Enable all generated alerts to be accessible on both a mobile platform and a web-based dashboard, providing comprehensive visibility into alert information; and
- Develop APIs to facilitate seamless transmission of alerts to any external third-party system or Exyte's proprietary systems.
Please download a document (PDF) containing detailed requirements and use cases for the solution.
Proof-of-concept (POC)/Pilot Support
Exyte Construction has identified a testbed site at an existing pharmaceutical facility construction site (around 7,900 sqm in Gross Floor Area).
Exyte will also provide the necessary expertise and manpower support for the project.
