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Pricing sourced from Site Protocol AI · Last verified March 2026
The vendor reports that Site Protocol AI's computer vision algorithms achieve high accuracy in detecting PPE compliance violations under normal lighting conditions, but has not disclosed specific accuracy percentages or F1 scores. The system is trained on a large dataset of construction site images spanning hard hats, safety vests, protective eyewear, gloves, and harnesses. Accuracy continues to improve through ongoing machine learning as the platform ingests more site-specific data. Independent third-party benchmark results have not been publicly disclosed, so prospective buyers should request a pilot evaluation on their own sites to validate performance under real-world conditions before committing.
Yes, Site Protocol AI is compatible with most standard IP cameras and existing CCTV/security infrastructure, which is a cost advantage over competitors that require proprietary hardware. The technical team provides setup assistance to ensure optimal camera angles, resolution, and positioning for reliable detection. This means construction companies can often deploy the platform without capital expenditure on new cameras. Most sites with functioning surveillance systems can be onboarded with minimal physical installation work.
The platform provides real-time detection and alerting. The vendor states that safety violations are typically identified within seconds of appearing on camera, though specific latency metrics have not been independently measured. Alerts are immediately dispatched to designated supervisors via mobile app push notifications, email, and SMS. This speed enables on-site intervention before a near-miss escalates into a recordable incident. Compared to traditional safety walks conducted hours or days apart, this represents a shift from reactive to proactive safety management.
Yes, OSHA compliance is a core feature of the platform. Site Protocol AI automatically tracks safety metrics, logs every detected violation with timestamps and video evidence, and generates comprehensive reports that can be used during OSHA inspections or internal audits. This automated documentation reduces the burden on safety managers who would otherwise compile reports manually. The audit trail also strengthens a firm's ability to demonstrate due diligence in the event of an incident investigation.
Site Protocol AI works in both indoor and outdoor environments, though accuracy depends heavily on lighting quality and camera placement. Outdoor sites typically perform well during daylight hours, while indoor monitoring benefits from consistent artificial lighting. Complex layouts with multiple levels, heavy obstructions, or low-light zones may require additional cameras or repositioning to achieve full coverage. The platform is optimized for typical active-construction conditions rather than confined-space or underground work.
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