Warehouse safety analytics with 3D AI movement data

Find risk patterns in internal logistics

Warehouse and factory environments change constantly. Forklifts, pedestrians, trucks, material flows, temporary storage areas and automated systems often share the same aisles, crossings and buffer zones. Even when processes are documented, it can be difficult to see where recurring risk patterns appear during daily operations.

Warehouse safety analytics helps make those patterns visible. Instead of relying only on manual observations, incident reports or assumptions, teams can use movement data to identify where traffic intensity is high, where people and vehicles interact, where speed variations occur, and where space constraints may affect both safety and flow.

This is especially useful in internal logistics because small layout or process details can influence how people move. A frequently blocked aisle, a busy intersection, a poorly placed buffer zone or an emergency exit with reduced visibility may not be obvious from a static floor plan. Movement analytics gives teams a more objective basis for discussing which areas deserve attention first.

Measure the data behind warehouse safety decisions

Warehouse safety decisions become stronger when they are supported by measurable signals. Viscando’s 3D and AI-based analytics can help teams understand how different moving assets use the same environment, including people, forklifts, trucks and other vehicles.

Signals that can support safety and flow analysis

• Positions and movement paths through aisles, intersections and shared spaces.
• Speed variations and direction changes.
• Traffic intensity during different time windows.
• Interactions between forklifts, pedestrians, trucks, AGVs and AMRs.
• Occupied and available space in operational areas.
• Obstacles, blocked aisles and emergency-exit visibility.
• Time-to-collision indicators where the project setup supports that analysis.

These signals help teams move from general safety concerns to more specific questions. Which intersections are most active? Where do people and forklifts repeatedly share space? Which aisles become congested during peak periods? Where could layout, markings, routing or process changes be evaluated?

The value is not only in collecting data. It is in creating a shared view of the environment so EHS, warehouse, operations and automation teams can discuss the same evidence and make more informed decisions.

Connect SmartMovement and SmartSpace

Viscando’s warehouse safety analytics is strongest when movement and space usage are analysed together. SmartMovement focuses on how people, vehicles and other moving assets move through the environment. SmartSpace focuses on how space is occupied, available, constrained or blocked.

SmartMovement can support analysis of movement paths, traffic intensity, interactions and speed variations. This helps teams understand the dynamic part of internal logistics: where movement happens, how often it happens, and which flows overlap.

SmartSpace adds the spatial context. Warehouses and factories are not only movement environments; they are also space-constrained systems where temporary storage, obstacles, buffer zones, staging areas and emergency exits influence daily safety and efficiency.

Together, SmartMovement and SmartSpace give teams a more complete picture of internal logistics. A high-traffic aisle may require one type of improvement. A recurring obstacle near a crossing may require another. A space-usage pattern that limits visibility or narrows movement paths may need both operational and layout attention.

This combined view supports Viscando’s Measure → Improve → Evaluate approach: first understand the current environment, then make targeted improvements, and finally compare the same areas again.

Support forklift, pedestrian and vehicle risk analysis

Forklift and pedestrian interaction is one of the most important warehouse safety analytics use cases. In many factories and logistics centres, people, forklifts and trucks need to operate close to one another, often around intersections, doors, loading areas, aisles and temporary storage zones.

Movement analytics can help teams see where these interactions occur repeatedly. It can show which routes are most active, where traffic intensity is concentrated, and where crossings or shared spaces may deserve closer review. This makes it easier to focus safety discussions on specific zones rather than broad assumptions about the whole facility.

Questions to answer in forklift, pedestrian and vehicle risk analysis

• Where do forklifts and pedestrians most often share space?
• Which intersections have the highest movement intensity?
• Are there areas where speed variation, direction changes or limited space create recurring attention points?
• Do trucks, forklifts, AGVs or AMRs interact with people in predictable zones?
• Which layout or process changes should be measured before and after implementation?

Evaluate changes before and after implementation

Warehouse safety analytics is useful before a decision, during an improvement project and after implementation. Many warehouses change layouts, adjust routes, add markings, introduce automation or update operational routines. Without a measured baseline, it can be difficult to evaluate what changed.

Measure → Improve → Evaluate workflow

1. Measure the current environment.
2. Identify recurring risk patterns, traffic intensity and space constraints.
3. Prioritize improvement areas.
4. Implement layout, process, routing or automation changes.
5. Measure the same zones again and compare the results.

This type of evaluation can support internal alignment between EHS, operations, warehouse management and automation stakeholders. It can also help teams document why a change was made and what should be reviewed next.

For AGV and AMR projects, the same logic applies. Before introducing automation, teams need to understand current movement patterns, shared routes, intersections, buffer zones and space constraints. After implementation, analytics can support continued evaluation of how people, vehicles and automated systems interact in the same environment.

Use analytics without turning the page into surveillance

Warehouse safety analytics should create operational insight, not unnecessary surveillance. Viscando’s value lies in turning movement and space usage into numeric data, visualizations and decision support that teams can use to understand internal logistics.

The focus is on measured patterns: where movement happens, how people and vehicles interact, where space is occupied, and which areas may need attention. That is different from using video as a general surveillance tool.

For teams evaluating privacy and data handling, the important questions are practical and project-specific: what is measured, what is stored, how the data is visualized, who needs access, and how the insights will be used in the safety improvement process.

Where warehouse safety analytics fits

Warehouse safety analytics is most useful when teams need a clearer view of movement, risk and space usage before making operational decisions. It can support several types of projects:

• Safety reviews in busy internal logistics environments.
• Forklift, pedestrian and truck interaction analysis.
• Traffic intensity analysis in aisles, crossings and loading areas.
• Space-usage reviews around obstacles, buffer zones and emergency exits.
• Before-and-after evaluation for layout or process changes.
• AGV and AMR planning where existing movement patterns need to be understood.
• Stakeholder reporting through data visualization and shared analytics outputs.