16 Forklift Safety & AI Pedestrian Detection Systems
AI-powered pedestrian detection systems are revolutionizing forklift safety.
Directory of AI vision, RFID, LiDAR, and UWB pedestrian detection and collision avoidance systems for forklifts, warehouses, logistics, and industrial vehicles
Workplace safety in industrial environments has reached a critical turning point. With over 85,000 forklift-related injuries reported annually in the United States alone, and pedestrian accidents accounting for nearly 20% of all forklift incidents, the need for advanced safety solutions has never been more urgent.
Traditional safety measures—mirrors, backup alarms, and high-visibility clothing—while important, often fall short in today's fast-paced, complex warehouse and industrial environments. Poor visibility, noise pollution, human error, and the increasing density of operations create dangerous blind spots that can lead to devastating accidents.
Enter artificial intelligence and advanced sensor technologies. Today's AI-powered pedestrian detection systems are revolutionizing forklift safety by providing real-time awareness, predictive alerts, and even automatic intervention capabilities. These systems combine computer vision, machine learning, LiDAR, radar, RFID, and ultra-wideband (UWB) technologies to create comprehensive safety nets that protect both operators and pedestrians.
This comprehensive guide examines 16 leading forklift safety and AI pedestrian detection systems from around the world, covering the full spectrum of available technologies—from purely AI-based vision systems to hybrid solutions that combine multiple detection methods for maximum reliability. At Riodatos, we help organizations navigate these complex technology decisions to find the right safety solutions for their specific needs. Contact our experts today for a free consultation on your forklift safety requirements.
Leading forklift safety and AI pedestrian detection systems from around the world.
The Technology Landscape: Four Approaches to Forklift Safety
Before diving into specific solutions, it's important to understand the four primary technological approaches currently dominating the market. For organizations looking to navigate this complex landscape, our procurement services provide expert guidance on selecting the right technology approach.
AI Vision Systems use computer vision and machine learning to identify pedestrians, vehicles, and obstacles in real-time through cameras. These systems can detect people in various positions and lighting conditions without requiring any wearable devices.
RFID-Based Systems require pedestrians to wear tags that communicate with vehicle-mounted receivers, creating customizable warning zones and providing alerts when people enter dangerous areas.
UWB (Ultra-Wideband) Systems offer precise location tracking through wearable tags, creating virtual safety zones with high accuracy and real-time positioning capabilities.
LiDAR and Radar Solutions use light detection and ranging or radio waves to identify objects and people, often focusing on reflective clothing or movement patterns for enhanced detection reliability.
16 Leading Forklift Safety & AI Pedestrian Detection Systems
Blaxtair (Arcure) — France
An AI-embedded camera system that detects and localizes pedestrians (standing, crouching, or partially visible) in real time, providing operators with visual and audible alerts. The system integrates with Blaxtair Connect for cloud analytics, fleet monitoring, and safety reporting. Compact, rugged, and IP69K-rated, it is widely adopted in construction, mining, and industrial forklift applications. Website: www.blaxtair.com
Speedshield Technologies (Adaptalift Group) — Australia
Developer of AIVA (Artificial Intelligence Vision Assist), a forklift-mounted vision-based system that detects pedestrians and provides multi-channel alerts (visual, audible, telematics integration). Adaptalift Group distributes AIVA and supports fleet-wide deployment. The system is designed for both indoor warehouses and outdoor logistics yards. Website: www.speedshield.com
LUIS Technology — Germany
Provides LUIS SAFE EDGE AI, an advanced driver-assistance and pedestrian detection system with object classification, real-time alerts, and automatic brake intervention. Built with deep learning algorithms, the system supports forklifts and heavy mobile machinery, focusing on active collision prevention rather than just warning signals. Website: www.luis-technology.de
STONKAM — China
Offers an HD Intelligent Pedestrian & Vehicle Detection Camera powered by AI deep learning. The system detects pedestrians and vehicles up to 30 meters around forklifts and provides real-time operator alerts. Its rugged design supports warehouses, ports, and factories, with options for integration into multi-camera safety suites. Website: www.stonkam.com
Matrix Design Group — United States
Developer of OmniPro Vision AI, a collision avoidance system that recognizes pedestrians, vehicles, and obstacles without requiring RFID tags or wearables. Features include customizable detection zones, visual and audible alerts, cloud-based analytics, and IP67-rated ruggedized cameras for demanding mining, tunneling, and industrial sites. Website: www.matrixteam.com
FleetSafe (Proxicam) — Australia
Provides the Proxicam AI Pedestrian Detection System, which uses smart cameras for 360° pedestrian tracking. The system functions reliably in low-light, high-dust, and harsh weather conditions, making it suitable for both indoor and outdoor fleets. It integrates with telematics platforms to deliver incident logs and safety insights. Website: www.safefleet.net
3rd Eye Robotics — United States
Creator of OmniVai, an AI-driven multi-camera vision system that delivers real-time pedestrian and object detection. It enhances operator awareness, integrates with fleet telematics, and supports a wide range of vehicles beyond forklifts, including refuse trucks and construction equipment. Website: www.3rdeyerobotics.com
Trio Mobil — Turkey
AI-powered tagless forklift safety system providing 360° pedestrian detection, automatic speed reduction, and real-time operator alerts. Operates without Wi-Fi and adapts to diverse industrial settings, including factories, ports, and logistics hubs. Website: www.triomobil.com
KIGIS Technologies — South Korea
Offers a hybrid Collision Avoidance System combining AI vision cameras with UWB (ultra-wideband) sensors to detect pedestrians. Designed for redundant safety, it issues real-time visual and audible alerts. Applicable in warehouses, ports, and factories, the system bridges both vision AI and proximity detection categories. Website: www.kigistech.com
FTC Safety Solutions — United Kingdom
Provides AI-powered forklift safety systems with camera-based pedestrian detection, customizable operator alerting mechanisms, and optional telematics integration. Optimized for high-traffic warehouses and dynamic environments, FTC's solutions balance detection sensitivity with operator usability. Website: www.ftcsafetysolutions.com
AME — Italy
Supplies radar and vision-based pedestrian detection systems with real-time alerts. Their modular systems integrate directly with forklift telematics platforms, offering configurable detection ranges and analytics dashboards. AME focuses on active safety solutions for industrial and construction environments. Website: www.ameol.it
ZoneSafe — United Kingdom
RFID-based system that alerts forklift operators and pedestrians to each other's presence. Vehicle-mounted antennas detect pedestrian tags within configurable safety zones, issuing visual and audible alerts. ZoneSafe is widely used in manufacturing plants, distribution centers, and logistics yards. Website: www.zonesafe.com
Claitec — Spain
Developer of the PAS (Pedestrian Alert System), an RFID tag-based safety solution. Claitec also provides traffic control solutions, speed-limiting systems, and zone access technologies for industrial safety management. Website: www.claitec.com
Elokon — Germany
Offers ELOshield, a UWB-based pedestrian detection and proximity alert system. It creates customizable warning and protection zones (up to 25 m / 80 ft) around forklifts. Alerts are issued via audio, visual, and vibration signals for both drivers and pedestrians. Website: www.elokon.com
Litum — Turkey
Specializes in UWB-based IoT safety systems with wearable tags that create virtual safety zones around forklifts. Operates in real time without line-of-sight requirements, offering robust coverage in dense warehouse environments. Website: www.litum.com
SEEN Safety — New Zealand
Uses LiDAR-based sensing to detect pedestrians by recognizing reflective high-visibility clothing. Provides real-time alerts to forklift operators without requiring RFID tags or Wi-Fi, reducing system maintenance and deployment complexity. Website: www.seensafety.com
Emerging trends include enhanced AI algorithms that better distinguish between different types of objects.
Key Considerations for Implementation
When evaluating these systems for your operation, consider these critical factors. For organizations seeking expert guidance on implementation strategy, our implementation services help ensure successful deployment and maximum ROI.
Environment Compatibility: Indoor warehouses may benefit from AI vision systems, while outdoor yards might require more robust RFID or UWB solutions that handle weather variations.
Integration Capabilities: Look for systems that integrate with existing fleet management and telematics platforms to maximize data utility and operational insights.
Maintenance Requirements: Tag-based systems require ongoing management of wearable devices, while AI vision systems may need periodic calibration and updates.
Detection Range and Accuracy: Consider your specific operational needs—tight warehouse aisles versus open logistics yards require different detection parameters.
Total Cost of Ownership: Factor in initial hardware costs, installation, training, ongoing maintenance, and potential system upgrades.
The Future of Forklift Safety Technology
The evolution of forklift safety technology shows no signs of slowing. Emerging trends include enhanced AI algorithms that better distinguish between different types of objects, fusion systems that combine multiple detection methods for redundant safety, integration with autonomous vehicle technologies, and predictive analytics that identify potential safety risks before incidents occur.
As these technologies mature, we can expect to see more sophisticated systems that not only detect pedestrians but also predict movement patterns, optimize fleet routing for safety, and provide comprehensive safety analytics that help operations continuously improve their safety performance. Integration with existing warehouse management systems and IoT platforms will become standard, enabling seamless data flow across all operational systems. Organizations looking to stay ahead of these trends can benefit from our support services for ongoing technology monitoring and strategic planning.
The future of forklift safety is here, powered by artificial intelligence and advanced sensor technologies.
Conclusion
The 16 forklift safety and AI pedestrian detection systems outlined in this guide represent the cutting edge of industrial safety technology. These global solutions demonstrate the worldwide commitment to reducing workplace accidents through innovation.
The diversity of approaches—AI vision, RFID, UWB, LiDAR, and hybrid systems—means there's likely a solution that fits your specific operational requirements, budget, and safety goals. The key is understanding your unique environment and selecting a system that provides the right balance of detection capability, reliability, and integration potential.
As workplace safety regulations continue to evolve and the cost of accidents—both human and financial—remains unacceptably high, investing in advanced pedestrian detection technology isn't just a competitive advantage—it's becoming a business necessity.
The future of forklift safety is here, powered by artificial intelligence and advanced sensor technologies. The question isn't whether to adopt these systems, but which one will best protect your most valuable assets: your people.
Frequently Asked Questions
Q: How long does it typically take to see ROI from forklift safety systems? A: Most organizations report measurable improvements in incident reduction within 3-6 months of implementation, with full ROI typically achieved within 12-18 months through reduced insurance costs, fewer workplace injuries, and improved operational efficiency.
Q: Can these systems work in extreme industrial environments? A: Yes, many systems are specifically designed for harsh conditions. Look for IP67 or IP69K ratings for dust and water resistance, and systems tested for extreme temperatures and vibration.
Q: Do AI vision systems work in low-light conditions? A: Advanced AI vision systems use infrared and thermal imaging capabilities to maintain detection accuracy in low-light, high-dust, and challenging visibility conditions.
Q: What's the difference between warning systems and intervention systems? A: Warning systems alert operators to potential hazards, while intervention systems can automatically reduce speed or apply brakes. The choice depends on your operational requirements and safety protocols.
About Riodatos
Riodatos is a leading technology research and advisory firm specializing in industrial automation, artificial intelligence, and workplace safety solutions. Our team of experts analyzes emerging technologies and provides comprehensive market intelligence to help organizations make informed decisions about their technology investments.
We maintain extensive databases of technology providers across various industries, offering detailed comparisons, implementation guidance, and strategic recommendations. Our mission is to bridge the gap between innovative technology solutions and practical business applications. We helped organizations across the manufacturing, logistics, and construction industries implement safety technology solutions that reduce workplace incidents and improve operational efficiency.
For more information about our research services, custom technology assessments, or to suggest additions to our directories, contact us at info@riodatos.com.
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Disclaimer: All company names, product names, trademarks, and logos mentioned are the property of their respective owners. This analysis is intended for general informational purposes only and does not imply endorsement, partnership, or affiliation with Riodatos. The order of companies is random and purely illustrative. If any company prefers to be removed, please contact us at info@riodatos.com.
🚧 16 Forklift Safety & AI Pedestrian Detection Systems 🚧
Forklifts keep industries moving—but they also present one of the biggest safety risks on the worksite.
That’s why we put together a guide to the 16 leading forklift safety & AI pedestrian detection systems. From AI vision to RFID, UWB, and LiDAR, you’ll discover the technologies shaping the future of collision avoidance and workplace safety.
👉 Explore the full guide here:
🔗 https://riodatos.com/forklift-safety-ai-pedestrian-detection-systems
