Manufacturing plants bring pedestrians, forklifts, powered equipment, production lines, storage areas, and material movement into the same operating environment. Preventing vehicle-pedestrian incidents therefore requires more than reacting to collisions or relying on operators and supervisors to notice every unsafe interaction. NIOSH guidance on forklift safety emphasizes systematic traffic management alongside safe equipment, training, work practices, and workplace design.
Technology is adding another layer of visibility. The 2026 smart manufacturing roadmap from NIST identifies advanced sensing, perception, autonomous systems, and AI as important areas of smart manufacturing development. For safety teams, vehicle-pedestrian software applies some of those capabilities to shared traffic areas by detecting proximity events, speeding, stop behavior, restricted-zone entry, and other leading indicators before they become recorded injuries.
Vehicle-pedestrian risk is not limited to a forklift physically striking a worker. The conditions that precede an incident can include vehicles traveling too close to walking routes, workers entering forklift operating areas, blocked sightlines, speeding, failure to stop at intersections, and recurring congestion at specific points in a facility.
Traditional controls remain essential. Manufacturers still need traffic separation, designated walkways, training, signage, safe operating procedures, appropriate PPE, and effective supervision. Software does not replace those controls.
Its role is to help safety teams see interactions that would otherwise be difficult to observe consistently.
Computer vision systems can analyze video continuously for defined events. Vehicle-mounted cameras can warn operators about pedestrians around a forklift. Tag-based systems can create electronic proximity zones that function even when a pedestrian is hidden behind racking or other obstacles.
The result is a category that ranges from analytical software to active collision-prevention systems.
Voxel uses existing security cameras to help manufacturing teams identify vehicle-pedestrian risks across production floors, warehouses, intersections, and other shared traffic areas. Its vehicle safety platform detects unsafe forklift-pedestrian proximity alongside speeding, near misses, vehicle-to-vehicle proximity, and failure-to-stop events.
Rather than treating each event as an isolated alert, Voxel gives safety teams video context and trend data that can help identify recurring conflict points. Teams can review incidents, assign corrective actions, support coaching, and track whether changes to traffic flow or operating practices reduce repeated risks.
Voxel can help manufacturers monitor areas where pedestrians regularly interact with powered industrial trucks, including aisle ends, pedestrian crossings, loading areas, and production routes. Because the platform works with existing camera infrastructure, coverage can be added across monitored areas without installing a dedicated detection device on every forklift.
Key vehicle-safety capabilities include:
Published customer results show how these insights can support practical safety changes. At NSG manufacturing sites, Voxel reported a 79% reduction in pedestrian-zone violations at its Malaysia facility within three months.
Carlex Glass also used Voxel to identify recurring forklift-pedestrian interactions. The resulting insights supported traffic-flow adjustments and clearer pedestrian walkways, showing how the platform can help manufacturers address both individual unsafe events and the site conditions contributing to them.
Voxel's manufacturing safety platform is therefore suited to teams looking for broader visibility into shared-space vehicle risks while connecting detection with follow-up and measurable safety improvements.
Intenseye provides camera-based workplace safety analytics for industrial environments. Its vehicle controls can monitor interactions between pedestrians and forklifts alongside vehicle speed, direction of travel, and designated traffic zones.
The platform uses calibrated camera views to interpret vehicle movement and identify predefined safety events.
Intenseye fits manufacturers that want vehicle-related hazards monitored through existing camera coverage alongside other computer-vision safety use cases.
Its approach is primarily focused on detection, analysis, and workflow response. It can give EHS teams a view of where unsafe traffic interactions recur and how vehicle behavior changes across different areas of a plant.
Trio Mobil provides forklift collision-avoidance technology that combines AI vision, UWB proximity detection, safety zones, and vehicle controls.
Manufacturers can use tagless visual detection, tag-based proximity sensing, or layered configurations depending on facility requirements.
Trio Mobil is relevant where manufacturers want both detection and direct intervention capabilities.
UWB proximity technology can add awareness around blind corners and physical obstructions, while AI vision can identify people without requiring every individual to carry a detection tag. Certain configurations can also reduce forklift speed when a vehicle enters a predefined zone or pedestrian risk increases.
Speedshield Technologies offers AiVA, a vehicle-mounted pedestrian-detection system designed for forklifts and other mobile industrial equipment.
AiVA analyzes the area around the equipment and alerts operators when pedestrians enter configured danger zones. Compatible installations can also connect with machine controls for slowdown or stopping responses.
AiVA fits manufacturers seeking protection that moves with each equipped forklift rather than relying on fixed-camera coverage.
The approach can be particularly relevant for equipment that regularly changes routes or operates in parts of a site with limited permanent camera visibility. Fleet size and equipment compatibility are important considerations because detection hardware is installed on individual machines.
Blaxtair develops embedded AI safety technologies for forklifts and other industrial machinery. Its pedestrian-detection systems identify workers near operating equipment and provide alerts when predefined risk areas are breached.
The broader Blaxtair portfolio also includes vehicle detection, zoning, impact monitoring, and connected safety analytics.
Blaxtair suits facilities seeking vehicle-mounted pedestrian detection with additional options for controlling behavior in specific areas.
Its zoning technology can apply different forklift speed settings to defined locations. That can be useful around pedestrian crossings, congested production areas, doors, intersections, and other places where site rules call for slower vehicle movement.
Proxicam uses forklift-mounted AI cameras to detect pedestrians without requiring workers to carry RFID or UWB tags.
Processing occurs at the camera, allowing the system to identify people entering configured detection zones and trigger warnings to the forklift operator.
Proxicam is relevant where manufacturers want pedestrian detection to travel with the forklift while avoiding a wearable-tag requirement.
The company currently reports 99.8% detection accuracy for its technology. Because this is a vendor-reported metric, manufacturers should validate detection performance during a site trial under their own lighting, equipment, pedestrian, and operating conditions.
ELOKON provides several technologies for forklift-pedestrian safety.
ELOvision uses tagless AI cameras. ELOshield uses UWB-based proximity detection, while ELOshieldAI combines tag-based proximity sensing with AI visual detection.
The range gives manufacturers flexibility when one detection method does not suit every part of a plant.
A facility may use visual pedestrian detection where line of sight is clear and UWB where racks or other structures create blind spots. Certain configurations can also interface with a forklift to reduce speed or brake in defined higher-risk situations.
viAct provides computer-vision analytics for manufacturing and other industrial environments. Its safety tools can use existing CCTV and IP camera infrastructure to detect pedestrians near vehicles, unsafe entry into vehicle zones, and near-miss events.
The platform includes a wider library of video-analytics modules for workplace safety and operations.
viAct can fit manufacturers seeking camera-based monitoring that extends beyond vehicle-pedestrian interactions.
For example, a plant can monitor selected forklift pathways while applying separate video-analytics modules to other safety or operational conditions. This makes the technology relevant to sites seeking a broader computer-vision program rather than an isolated forklift device.
Protex AI analyzes existing CCTV feeds to identify workplace safety and operational patterns. Its vehicle-safety capabilities include vehicle-worker near misses and unsafe vehicle behaviors.
The system uses an edge-first architecture in which video processing occurs locally, with safety information then made available through its analytics platform.
Protex AI fits manufacturers evaluating computer vision as part of a broader safety intelligence program.
Its edge architecture can also be relevant when data handling and video governance are important evaluation criteria. Teams can examine repeated pedestrian-vehicle interactions and use the resulting information to guide coaching, traffic changes, and other interventions.
ZoneSafe uses active RFID technology to create proximity warning zones around industrial vehicles.
Pedestrians carry compatible tags. When a pedestrian enters the configured vehicle zone, the forklift operator receives an in-cab alert while the pedestrian receives a vibration warning.
ZoneSafe is relevant to facilities where visual line of sight is a persistent challenge.
Because its pedestrian-detection system does not depend on cameras seeing the individual, tagged workers can be detected behind racking, stored products, walls, or blind corners.
The tradeoff is operational. Manufacturers need a process for issuing, charging, maintaining, and managing pedestrian tags, including procedures for temporary workers and visitors entering vehicle areas.
Technology should be matched to the risk rather than selected solely from a feature list.
Map where vehicles and pedestrians interact most frequently.
Common areas include:
A site that has persistent blind-corner exposure may benefit from a different configuration than one primarily trying to understand unsafe traffic patterns across a large production floor.
A second question is whether the facility needs monitoring, operator alerts, or automatic intervention.
Camera-based systems can provide continuous evidence of risks and recurring patterns. Forklift-mounted cameras can deliver immediate operator warnings. Integrated proximity systems can sometimes slow the vehicle automatically.
Those capabilities should not be treated as interchangeable.
Tagless computer vision can identify people without requiring them to carry a specific device. This can simplify coverage of visitors, contractors, and temporary personnel.
Tag-based systems can provide proximity information without relying on visual line of sight, but everyone who needs detection generally needs an appropriately configured tag.
Detecting a near miss has limited value if nothing happens afterward.
Manufacturers should assess how the software helps teams:
This is especially important for large manufacturing networks where safety leadership cannot manually review every event at every facility.
Voxel approaches vehicle-pedestrian safety as part of a broader industrial risk program rather than as an isolated proximity sensor.
Its manufacturing safety platform uses existing cameras to provide continuous visibility into people, vehicles, equipment, and workplace conditions. For vehicle risk specifically, Voxel can identify forklift-pedestrian proximity, speeding, near misses, and unsafe stop behavior.
That combination matters because vehicle incidents often develop from several overlapping conditions. A risky pedestrian interaction may be connected with poor intersection behavior, repeated speeding, congestion, or facility layout. Video-based context helps teams understand those relationships.
Voxel also extends the process beyond detection. Its industrial safety platform can turn identified risks into assignments, follow-ups, and measurable actions.
Current customer examples show how that visibility can inform manufacturing programs. Piston Automotive reported an 86% reduction in vehicle safety incidents in three months. Carlex used vehicle-pedestrian data to identify opportunities to redirect traffic and establish clearer walking routes. NSG reported a 79% reduction in pedestrian-zone violations at its Malaysia location within three months.
These figures represent individual customer outcomes rather than expected results for every manufacturer.
The larger advantage for multi-site operations is a consistent source of risk data across facilities. Voxel works with existing camera infrastructure, supports standardized reporting, and gives safety leaders a way to move from identifying a risky interaction to understanding whether corrective actions actually reduced it.
Manufacturers evaluating camera-based vehicle safety can book a Voxel demo to review their camera infrastructure, facility layout, and highest-priority vehicle risks.
Vehicle-pedestrian safety software identifies interactions between workers on foot and forklifts or other industrial vehicles. Systems may use computer vision, vehicle-mounted cameras, RFID, UWB, or combinations of these technologies. The Voxel vehicle platform uses existing cameras to identify risks including forklift-pedestrian proximity, speeding, near misses, and unsafe stop behavior.
Yes. Computer vision platforms can analyze compatible security-camera footage to identify vehicles, pedestrians, and defined interactions between them. Actual coverage depends on factors such as camera placement, visibility, image quality, and the capabilities being deployed. Voxel manufacturing intelligence is designed to use existing camera infrastructure for continuous industrial risk visibility.
No. Automatic slowdown or stopping is a specific capability of certain vehicle-integrated systems. Other technologies provide alerts, analytics, video evidence, or corrective-action workflows rather than controlling the forklift directly. The Voxel safety platform, for example, detects and contextualizes vehicle risks through camera analytics rather than functioning as an onboard forklift governor.
Neither approach is universally better. Camera-based systems can detect workers without requiring wearable tags and can provide video context around an event. Tag-based technologies can function around visual obstructions but require appropriate personnel to carry compatible devices. Manufacturers should choose according to site layout, workforce movement, existing infrastructure, and the type of intervention required.
Teams can monitor leading indicators such as unsafe proximity events, speeding, stop compliance, near misses, repeated hotspot locations, and corrective-action completion alongside actual incident trends. The goal is to determine whether changes to traffic design, training, coaching, or operating procedures reduce risk over time. Voxel risk management connects detected risks with action tracking and reporting so teams can evaluate those changes across sites.
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