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AI Pedestrian Detection System and Forklift Safety Buyers Guide

  • Writer: John Buttery
    John Buttery
  • Jan 18
  • 1 min read
EHS Managers evaluate pedestrian detection systems in a logistics center
EHS Managers evaluate pedestrian detection systems in a logistics center.

An evaluation framework for EHS, Operations, IT, Finance, Legal, Engineering, and Procurement teams


📘 AI Pedestrian Detection System and Forklift Safety Buyers Guide 🔒 Every EHS team wants safety. But the real decision-makers span IT, Legal, Ops, and Finance.


📊 This guide shows how to align them — and prove safety before you scale.

✓ Incidents are underreported — risks are real and growing

✓ AI systems detect pedestrians with no tags or infrastructure

✓ Works offline: no data leaves the forklift

✓ No integration with IT systems or surveillance concerns

✓ Built for legal defensibility and measurable ROI

✓ Evaluation framework supports every department

✓ One-machine validation prevents overcommitting

✓ Simple installs with no vehicle modification

✓ Role-based decision support from plant to procurement

✓ Backed by real-world testing, not marketing demos



AI Pedestrian Detection System and Forklift Safety Buyers Guide

🧭 Safety tech only works when everyone’s on board. The buyer’s guide gets you there without assumptions, without surprises.



Technology doesn’t prevent incidents — systems and processes do. But when you choose the right technology and validate it effectively, safety becomes something you can scale with confidence.


This guide helps cross-functional teams evaluate pedestrian detection systems based on real operating conditions and operator acceptance, not individual product features.


The guide offers: a defensible, role-based framework that makes sure your next safety investment isn’t just a checkbox — it’s a turning point.


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John Buttery Bio

Mr. Buttery is the CEO of Riodatos and specializes in forklift pedestrian detection systems, collision avoidance solutions, and EHS safety technology used throughout manufacturing, logistics, and industrial facilities. He brings more than three decades of experience in GNSS, GIS, machine control, autonomous systems, and industrial technology adoption, along with an MBA and a career spent building dealer networks across the Americas. Through Riodatos, he supports facilities across the U.S. with reliable safety technology evaluation, deployment guidance, and long-term risk-reduction planning.

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