Understand how AGVs, AMRs, forklifts and people interact in real operations.
Autonomous mobile robots and automated guided vehicles can change the way factories and warehouses move goods. But when AGVs, AMRs, manual forklifts and pedestrians share the same areas, operations teams need more than vehicle-side safety functions. They need objective movement data that shows where interactions happen, how often they happen, at what speed and under which route conditions.
Viscando helps factories and logistics sites measure those real-world movement patterns with 3D and AI-based sensing. The result is an independent analytics layer that supports safer planning, smoother automation rollouts and better decisions about routes, intersections, buffer zones and shared work areas.
Contact Viscando to discuss AGV/AMR movement analytics for your site.
Why AGV and AMR safety needs movement analytics
AGV and AMR safety analytics gives operations, EHS and automation teams a site-level view of how autonomous vehicles, forklifts and pedestrians interact in shared areas.
AGVs and AMRs normally include their own scanners, stop functions and control systems. Those systems are essential. They are also focused on the vehicle.
A factory or warehouse team often needs a wider view: how the full environment behaves around the vehicle. That includes manual forklift traffic, pedestrians, pallet flows, loading areas, blind corners, temporary obstacles and changes between shifts.
Independent movement analytics can help answer questions such as:
- Where do AGVs, AMRs, forklifts and pedestrians meet most often?
- Which intersections or shared routes create repeated stop events or bottlenecks?
- How do speeds, directions and waiting times change before and after a route adjustment?
- Which areas should be reviewed before scaling an automation rollout?
- How can EHS, automation and operations teams discuss risk with the same movement evidence?
Viscando is not a replacement for AGV or AMR safety systems. It provides objective site-level data that can support risk assessment, route planning and continuous improvement.
What Viscando measures in AGV/AMR environments
Viscando measures movement patterns such as position, speed, direction, stop events, interaction frequency and shared-zone occupancy across people, vehicles and material flows.
Viscando’s Factories & Logistics solutions are built around movement data. With OTUS3D sensors and VisualDB dashboards, teams can analyze how people, vehicles and material flows move through the same operational space.
For AGV and AMR safety analytics, relevant measurements can include:
- Positions of AGVs, AMRs, forklifts and pedestrians in shared areas
- Speed, direction and movement intensity
- Interaction frequency between autonomous vehicles, manual vehicles and people
- Stop events, waiting patterns and route interruptions
- Hotspots at intersections, crossings, docking areas and blind corners
- Occupancy in buffer zones, shared zones, pickup zones and workcell areas
- Time-to-collision indicators and other near-miss proxies where the data supports them
- Before-and-after comparisons when routes, layouts or workflows change
These metrics help teams move from assumptions to evidence. Instead of relying only on observations or isolated incidents, teams can review measured movement patterns over time.
Before, during and after AGV/AMR implementation
Movement analytics can support baseline measurement before automation, rollout monitoring during pilot phases and before-and-after analysis after route or layout changes.
Before implementation
Before AGVs or AMRs are introduced, a baseline measurement can show how manual operations work today. This can include forklift routes, pedestrian crossings, congestion points, waiting areas and the flow between production, storage and loading zones.
That baseline helps project teams understand where automation may interact with existing traffic and where additional planning may be needed.
During rollout
During pilot or early rollout phases, movement data can show how people and vehicles adapt to new autonomous routes. Teams can monitor whether stop events, route conflicts or shared-zone occupancy increase in specific areas.
The goal is not to claim that one measurement automatically proves a safety outcome. The goal is to give EHS, automation and operations teams a shared evidence base for reviewing what is happening on the floor.
After changes
After route changes, speed-zone adjustments, layout changes or process updates, before-and-after analytics can help teams evaluate whether movement patterns changed in the intended direction.
This is especially valuable when automation projects expand from a single route to broader mixed-traffic operations.
Common AGV/AMR safety analytics use cases
Intersections, blind corners and crossings
Intersections often concentrate risk because several movement flows meet in one place. With 3D movement analytics, teams can study how objects approach, slow down, stop, cross or wait in these areas.
This supports a more informed discussion about route priority, visibility, crossing design and operational routines.
Docking, pickup and buffer zones
AGV and AMR routes often connect to loading points, pickup locations, temporary storage or buffer zones. These areas can become congested when manual and automated workflows overlap.
Movement data can show how long zones are occupied, where queues form and how material flow affects surrounding traffic.
Manual-to-automated transition areas
Transition areas are important when goods move between manual handling and autonomous transport. Viscando can help teams identify where people, forklifts and autonomous vehicles interact during those handovers.
This makes the page especially relevant for factories and warehouses introducing automation step by step rather than replacing all manual flows at once.
How Viscando’s 3D and AI sensing works
OTUS3D sensors capture movement as data, while VisualDB turns movement patterns into dashboards, graphs and operational insights for factories and logistics sites.
Viscando uses OTUS3D sensors to capture movement patterns and convert them into data. The system is based on 3D stereoscopic vision and AI, allowing it to measure multiple types of movement in the same environment.
For factories and logistics sites, this means teams can analyze people, vehicles and material movement together rather than treating each flow as a separate problem.
VisualDB and data visualization turn the movement data into dashboards, graphs and shareable insights. Teams can use the data to review traffic intensity, interaction points, speeds, directions, occupancy and other operational KPIs.
What teams can do with AGV/AMR movement data
Teams can use movement data to prioritize route reviews, compare manual and automated flows, identify repeated stop events and discuss mixed-traffic behavior with objective evidence.
The value of AGV/AMR safety analytics is not only in measuring movement. It is in making better operational decisions from that data.
Operations, EHS and automation teams can use the insights to:
- Prioritize which routes and intersections to review first
- Compare manual baseline movement with post-automation movement
- Identify repeated stop events and possible bottlenecks
- Discuss shared-zone behavior using objective evidence
- Plan improvements before scaling automation to more routes
- Support conversations between safety, production, logistics and automation stakeholders
Because every site has its own layout, workflows and automation maturity, the analysis should be adapted to the local environment. Viscando’s role is to provide the movement evidence that helps teams decide what to investigate and improve.
A practical analytics layer for mixed traffic automation
AGV and AMR projects are rarely only about the robot. They are about the whole operating environment around the robot.
When autonomous vehicles, forklifts and people share space, the most useful questions are often practical:
- What happens at this crossing during peak flow?
- How does a route change affect nearby pedestrian movement?
- Where do vehicles wait, stop or slow down repeatedly?
- Which areas need more detailed review before expansion?
Contact Viscando to plan an AGV/AMR movement analytics assessment.
FAQ
What is AGV/AMR safety analytics?
AGV/AMR safety analytics is the measurement and analysis of how automated guided vehicles, autonomous mobile robots, forklifts, pedestrians and material flows interact in a shared factory or warehouse environment. It focuses on operational movement patterns such as routes, speeds, stops, crossings, interaction hotspots and before-and-after changes.
How is independent movement analytics different from AGV safety sensors?
AGV and AMR safety sensors are part of the vehicle and help the vehicle detect and react to its surroundings. Independent movement analytics looks at the wider site environment. It helps teams understand how all traffic types move through shared areas, including pedestrians, forklifts, buffer zones, shared zones, intersections and manual workflows.
What should factories measure before introducing AGVs or AMRs?
Factories should consider measuring existing routes, pedestrian crossings, forklift traffic, bottlenecks, stop events, waiting areas, shared-zone occupancy and interaction hotspots. A baseline can help teams compare manual operations with later automation changes.
Can movement analytics help with mixed forklift and AMR traffic?
Yes. Movement analytics can help teams see where manual forklifts, AMRs, AGVs and pedestrians meet, wait, cross or slow down. This supports route review and operational planning, especially in areas where automation and manual work continue side by side.
Does Viscando guarantee improved safety or compliance?
No. This page should not promise accident reduction, legal compliance, ROI or guaranteed safety outcomes. Viscando provides objective movement data and analytics that can support risk assessment, operational review and continuous improvement decisions.
