Shuffle is developing spatial intelligence technology to monitor construction sites in real time to detect safety hazards before they escalate.
Construction sites account for one in five workplace fatalities in the United States, with common causes including falls, being struck by objects, electrocutions, and equipment-related incidents.
Automated vision-powered systems can help identify safety violations in real time, preventing incidents from occurring.
Shuffle's platform can process thousands of safety checks per minute across entire job sites, detecting violations accurately.
Validation results show high accuracy in detecting PPE compliance, proximity alerts, fall risks, and vehicle safety monitoring.
The platform projects the potential to identify an average of 23 safety violations per day that traditional monitoring methods might miss.
Real-time alerts and comprehensive safety analytics generated by the system help safety managers make informed decisions.
Shuffle aims to enhance existing safety protocols by providing superhuman monitoring capabilities to safety managers.
The platform supports OSHA compliance reporting and provides insights to improve safety programs.
The edge/cloud architecture of the system enables rapid deployment without requiring on-site servers or complex IT infrastructure.
Shuffle believes spatial intelligence is the future of construction safety, offering proactive and continually improving safety measures.
The ultimate goal is to create construction environments where every worker returns home safely every day, reducing families' worries and minimizing safety incidents.
Shuffle emphasizes building a safer job site environment with ground truth precision.
The technology is designed to supplement and enhance existing safety efforts rather than replace them entirely.
Shuffle's platform enables early intervention and preventative actions based on real-time safety data.
The company's focus is on ensuring that safety incidents at construction sites become increasingly rare through proactive detection and prevention measures.