Trio Mobil brings AI safety platform to NSC 2026

Trio Mobil is showing its prevention-first industrial safety platform at the 2026 NSC Safety Congress & Expo in Indianapolis, highlighting AI, computer vision, UWB proximity detection and video intelligence for forklift safety and SIF risk prevention. The company says the platform is designed to help industrial sites spot risk earlier, intervene in real time and reduce serious incidents.

Why it matters: - Industrial safety teams are under pressure to move beyond after-the-fact incident reporting and spot serious risk before a worker is hurt. - Trio Mobil is pitching a single platform that combines detection, intervention and analytics to help reduce forklift-related collisions, near misses and serious injury and fatality, or SIF, exposure. - The company’s message at NSC 2026 is that real-time data can help organizations act earlier, not just document what went wrong.

What happened: - Trio Mobil is showcasing its prevention-first industrial safety platform at the 2026 NSC Safety Congress & Expo in Indianapolis. - The company is exhibiting at Booth 5022 for EHS, safety and operations leaders. - Trio Mobil says the platform brings together AI, computer vision, Ultra-Wideband proximity detection, telematics, real-time location technology and video intelligence. - The system is designed for forklift safety, pedestrian detection, collision avoidance, near-miss detection, SIF risk intelligence and real-time safety alerts.

The details: - Trio Mobil says its technology is deployed across 65+ countries and supported by more than 1 million connected devices. - The company says it works with more than 2,000 industrial sites across manufacturing, logistics and other complex environments. - Trio Mobil received Frost & Sullivan’s Global Technology Innovation Leadership Recognition for AI-Based Industrial Safety in 2026. - Trio Safe AI combines AI-powered computer vision with UWB proximity technology for forklift-pedestrian detection and collision avoidance. - Trio Safe AI supports both tagless and tag-based detection. - Trio Safe AI can send real-time safety alerts, activate smart-zone warnings and support automatic forklift speed reduction under defined conditions. - Trio Safe uses UWB technology to detect forklift-to-pedestrian and forklift-to-forklift proximity risk with high positional accuracy. - Facilities can configure warning zones, proximity thresholds, alerts and vehicle-speed controls to fit their operating environment. - AI Risk Radar analyzes safety exposure across 100+ risk scenarios. - AI Risk Radar helps EHS teams identify risk by zone, shift, asset and behavior. - AI Risk Radar is designed to surface recurring near misses, high-risk locations, repeated forklift-pedestrian interactions and emerging SIF precursors. - TRUE-AI uses computer vision for pedestrian detection, vehicle-pedestrian interaction monitoring, restricted-zone safety and loading-dock safety. - TRUE-AI can trigger real-time audio-visual safety alerts and create event-based video records for analysis. - FleetBridge provides forklift telematics including operator access control, pre-operational checklists, impact detection and utilization analytics. - Trio Locate provides real-time forklift and asset tracking to analyze equipment movement, traffic patterns and operational exposure. - The platform’s three-part model is detection, intervention and intelligence. - Detection identifies people, vehicles, near misses and developing risk. - Intervention provides real-time safety alerts, smart-zone actions and vehicle-control integration. - Intelligence turns accumulated data into SIF risk intelligence to reveal patterns and prioritize corrective action.

Between the lines: - The platform reflects a broader shift in industrial safety from lagging indicators to leading indicators that can be measured continuously. - Forklift-pedestrian interaction is a high-frequency use case because many daily encounters never become incidents, yet repeated exposure can reveal where risk is accumulating. - Trio Mobil is framing AI as a prevention tool, not just a reporting layer. - “The biggest opportunity for industrial AI is not simply documenting what happened, but recognizing risk early enough to act on it,” said Nevzat Ataklı, CEO and Co-Founder of Trio Mobil.

What’s next: - Trio Mobil is using NSC 2026 to reach safety, EHS and operations leaders who may be evaluating prevention-first systems. - The company’s stated goal is to help organizations understand where serious risk exists, intervene in real time and measure whether exposure is declining over time. - Trio Mobil directs readers to more information and its LinkedIn page.

The bottom line: - Trio Mobil is positioning AI, computer vision and connected safety tools as a way to spot industrial risk earlier and prevent serious incidents before they happen.