ELOKON Launches ELOshieldAI, A Dual-Layered Safety System for Maximum Forklift and Pedestrian Protection

New solution combines ultra-wideband (UWB) proximity detection and AI-powered, tagless vision technology to prevent collisions in high-risk industrial environments

ATLANTA--(BUSINESS WIRE)--ELOKON, a leading provider of safety and assistance systems for material handling and intralogistics, today launched ELOshieldAI, an advanced, AI-powered safety solution that delivers dual-layered, comprehensive protection for industrial workplaces. By integrating artificial intelligence (AI)-driven, tagless vision detection with the proven UWB-based ELOshield proximity system, ELOKON is setting a new standard for workplace safety in warehouses, manufacturing plants and logistics hubs.

ELOshieldAI combines AI-camera technology powered by highly precise pedestrian detection algorithms with UWB proximity sensors. This intelligent sensor fusion enables real-time detection and analysis of pedestrian and vehicle behavior, even in cluttered, complex, or low-visibility environments. ELOshieldAI empowers customers with flexible safety options: they can rely on on-body pedestrian alerting for workers equipped with ELOshield badges, tagless pedestrian detection from the forklift using AI cameras, or a combination of both. These options enhance the overall failsafe performance of proximity detection systems.

“UWB delivers the precision needed to prevent vehicle collisions and enables intelligent features like speed zoning, while AI lets us identify and analyze pedestrian behavior in real time,” said Alex Glasmacher, CEO of ELOKON. “With ELOshieldAI, customers can choose the safety configuration that fits their environment—whether that’s badge-based alerts, tagless detection, or both.”

Dual-Layered Safety: Precision and Intelligence

ELOshieldAI introduces several key advancements:

• AI-enhanced pedestrian detection: AI cameras use advanced algorithms to identify human forms and movements with high accuracy, reducing false alarms and increasing responsiveness.
• Entity classification & contextual awareness: The system distinguishes between pedestrians, vehicles, and stationary obstacles to prioritize critical warnings.
• Sensor fusion for reliability: UWB provides centimeter-accurate proximity data, while AI visually confirms human presence, enabling cross-validated alerts and interventions.
• Truck-to-truck collision avoidance and speed zoning: The combination of UWB and AI ensures precise detection of vehicles and supports intelligent safety automation such as automatic speed reduction in defined zones and collision prevention between forklifts, automated guided vehicles (AGVs) and autonomous mobile robots (AMRs).

Enhanced Features Powered by UWB

• Truck-to-truck detection: Vehicles equipped with UWB modules detect each other via direct wireless communication, eliminating false alarms from static objects and improving inter-vehicle awareness.
• Dynamic zone monitoring: UWB ensures accurate detection of trucks entering or exiting predefined safety zones, such as pedestrian walkways or intersections, and enables automated alerts or slowdowns.

ELOshieldAI is compatible with a wide range of forklift models and can be easily retrofitted onto existing fleets. The system is fully customizable to meet the specific operational needs of each facility.

“By merging UWB precision with artificial intelligence, ELOshieldAI delivers a fail-safe, layered approach to safety,” Glasmacher added. “It’s a powerful example of how smart technology can protect people and equipment in real industrial settings.”

About ELOKON

ELOKON is an international provider of forklift telematics and safety solutions that enhance safety, efficiency, and productivity in intralogistics operations. Founded in 1986, the company has offices and dedicated customer service teams in the United States, Germany, and Poland, ensuring best-in-class support for customers on the ground in each region. ELOKON serves clients in over 45 countries worldwide. For more information, visit www.elokon.com.