ELOKON to Debut AI-Powered Dual-Layer Collision Prevention at MODEX 2026

ELOKON to Debut AI-Powered Dual-Layer Collision Prevention at MODEX 2026

Manufacturing Tomorrow
Manufacturing TomorrowApr 7, 2026

Why It Matters

By reducing pedestrian‑forklift accidents and equipment damage, ELOshieldAI promises lower insurance costs and higher productivity, accelerating the shift toward proactive safety in intralogistics.

Key Takeaways

  • ELOshieldAI merges UWB tags with AI vision detection.
  • Provides 360° camera coverage and real-time alerts.
  • Enables automatic forklift speed reduction in high‑risk zones.
  • Logs near‑miss events for analytics and prevention.
  • Available for retrofit on existing material‑handling equipment.

Pulse Analysis

The material‑handling industry is at a tipping point where traditional safety measures no longer suffice for increasingly dense and automated warehouses. Companies are turning to sensor‑fusion technologies that combine multiple data streams to create a holistic view of the work floor. ELOKON, a veteran in forklift telematics, leverages this trend with ELOshieldAI, a system that unites ultra‑wideband (UWB) tag detection and AI‑enhanced vision to monitor both equipment and personnel in real time.

ELOshieldAI’s dual‑layer architecture delivers several technical advantages. UWB tags provide precise, low‑latency proximity alerts, while AI‑driven cameras eliminate blind spots and interpret pedestrian behavior, enabling proactive warnings such as visual cues, audible alarms, and automatic speed reductions. The platform also records near‑miss incidents, feeding analytics that identify recurring risk patterns and support continuous safety optimization. Because the hardware can be installed on existing forklifts, operators gain immediate ROI without costly fleet overhauls.

From a market perspective, the rollout at MODEX signals broader adoption of intelligent safety ecosystems across logistics hubs. Enterprises that integrate ELOshieldAI can expect reduced workers' compensation claims, lower equipment downtime, and compliance with tightening safety regulations. Moreover, the data generated opens pathways for digital twins and predictive maintenance, positioning ELOKON as a strategic partner for firms seeking to future‑proof their intralogistics operations. As sensor‑fusion becomes a standard, early adopters will likely capture competitive advantages in both safety performance and operational efficiency.

ELOKON to Debut AI-Powered Dual-Layer Collision Prevention at MODEX 2026

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