StrongArm Technologies provides worker-worn ergonomic sensors and personalized movement training through its SafeWork Platform. The system is designed to identify selected high-risk movements, provide immediate feedback, and help safety teams examine patterns across workers, jobs, shifts, and facilities.
Organizations evaluating StrongArm should begin with the type of information they need. A wearable may be suitable when individual workers need direct feedback during lifting, bending, twisting, or material-handling tasks. A camera-based platform such as Voxel’s ergonomics solution serves a different role by providing visual context within connected work areas and supporting broader analysis of camera-visible industrial risks.
StrongArm develops wearable technology for physically demanding work. Its current SafeWork Platform includes two primary components:
The products can operate separately or together. The sensor captures movement information and provides immediate feedback, while the training program delivers short lessons intended to improve movement practices and support coaching.
StrongArm merged with workplace-training provider Worklete in 2023. The combined platform brought StrongArm’s wearable information together with Worklete’s movement-training content. StrongArm introduced a touchscreen version of its SafeWork Sensor in 2024.
The SafeWork Sensor is worn between the shoulder blades using an adjustable X-Pack harness. During a shift, the sensor evaluates selected movement patterns and can provide vibration, sound, or visual feedback when configured thresholds are crossed.
Workers select their profiles when checking out devices. Movement information is stored during the session and uploaded for processing when network connectivity is available. Managers can then use the SafeWork Dashboard to review information by worker, shift, job function, location, or other configured categories.
StrongArm describes the current sensor as water resistant, dust resistant, and designed for industrial use. The company advertises up to 36 hours of battery operation and a device weight slightly above five ounces.
The SafeWork Sensor focuses on selected ergonomic movement patterns. Current product and support materials describe monitoring or feedback related to factors such as:
The wearable provides haptic and auditory feedback intended to help workers recognize a monitored movement while the activity is happening. The touchscreen can also display information associated with the worker’s profile and shift.
The system does not provide physical lifting assistance. It is a movement-monitoring and coaching device rather than an exoskeleton, lift-assist tool, or mechanical material-handling control.
The SafeWork Dashboard converts sensor information into worker-level and operational reporting. Depending on the configuration, managers may be able to review:
The Intervention App can display worker profiles, participation, Safety Scores, primary risk factors, device status, and score trends. This can support personalized coaching but also requires clear data-governance policies.
Safety teams should determine who can access worker-level information, whether workers can view their own records, how comparisons will be interpreted, and whether the information may be used for disciplinary or employment decisions.
SafeWork Training provides digital lessons and in-person coaching resources. The program incorporates movement-training content developed through Worklete and can be used with or without the sensor.
Current program materials describe:
The sensor and training products can be used together. Movement patterns may help identify areas for additional instruction, while the training program gives managers a structured method for delivering that instruction.
StrongArm can analyze customer-provided injury and workers’ compensation information as part of program reviews. Requested information may include OSHA logs, loss runs, employee counts, hours worked, job classifications, injury descriptions, and incurred costs.
This analysis may help organizations compare wearable participation and movement trends with changes in injury frequency or cost. Buyers should clarify the required data fields, confidentiality terms, anonymization practices, analytical methods, and whether historical information may be included in aggregated benchmarks.
A central feature of StrongArm is that feedback reaches the worker during the monitored movement. Workers do not need to wait for a supervisor to observe the activity or review the information later.
This may be useful in jobs involving repetitive material handling, order selection, loading, unloading, packing, production work, or other tasks where bending and twisting occur frequently. Immediate feedback can make workers more aware of movement patterns that may otherwise be difficult to recognize.
The feedback still requires interpretation. A vibration indicates that the device detected a movement that crossed a configured threshold. It does not establish that the movement was avoidable or that individual technique was the only source of exposure.
StrongArm combines movement information with individual Safety Scores and training content. This gives safety teams a way to direct coaching toward the movement factors most relevant to a particular worker or job.
The approach may provide more specific information than general lifting training when managers have the time and expertise to interpret the findings constructively. Personalized instruction may also support new employees who are learning material-handling tasks and workplace movement practices.
Coaching should consider the task as well as the worker. Repeated bends may reflect low pallet heights, container placement, production pace, limited mechanical assistance, or another work-design condition that movement instruction alone cannot resolve.
StrongArm merged with workplace-training provider Worklete in 2023, combining wearable movement data with digital training and coaching resources. The company introduced its touchscreen SafeWork Sensor in 2024 and continues to offer SafeWork Sensor and SafeWork Training.
Prospective customers should confirm current service levels, device-replacement procedures, implementation support, software terms, and planned product development during procurement.
StrongArm can evaluate only workers who are wearing active sensors correctly. If a worker does not check out a device, wears it incorrectly, removes it, or continues working after the battery is depleted, the system cannot collect the intended movement information for that period.
The company’s dashboard documentation includes participation rates, sensor checkouts, device-use status, and lost-sensor information. Device accountability is therefore an ongoing part of the operating model.
Organizations should plan for:
The required effort will vary according to workforce size, turnover, shift structure, and the number of sites.
A back-mounted sensor can measure movement at the location where it is worn, but it does not automatically explain why the movement occurred. It may not show pallet height, load dimensions, grip quality, workstation layout, floor conditions, nearby equipment, mechanical-assistance availability, or production constraints.
Research on single-location wearable limitations indicates that commercial single-device systems can be practical for monitoring posture and task frequency but may be less suitable for quantitatively assessing musculoskeletal loading and fatigue risk.
A sensor alert may therefore serve as a starting point for further evaluation. Safety and ergonomics teams may still need direct observation, worker interviews, task measurements, force analysis, the Revised NIOSH Lifting Equation, or other assessment methods.
Real-time feedback can help workers adjust certain movement patterns, but some ergonomic exposure originates in the job design. Low pallet positions, excessive reaching distances, poor tool placement, high production rates, heavy containers, or limited lifting equipment cannot be corrected through haptic feedback alone.
Organizations can use StrongArm information as one input when examining:
The objective should be to determine whether the movement reflects an individual coaching need, a task-design issue, or a combination of factors.
The SafeWork Dashboard can display worker profiles, employee identifiers, participation, individual scores, job functions, shifts, and movement trends. StrongArm states that its current sensor omits audio, video, and GPS, but the platform still processes identifiable worker-level movement information.
Organizations should document:
Union representatives, worker committees, privacy personnel, legal teams, and information-security teams may need to participate in the review.
StrongArm publishes substantial injury-reduction and return-on-investment figures, but outcomes may vary across customers, worker groups, intervention periods, and measurement methods. Some programs combine sensors with training, coaching, onboarding changes, or other operational interventions.
Buyers may want to request:
Results from one distribution network or customer group should not be assumed to apply to another facility without considering differences in tasks, workforce, implementation, and controls.
StrongArm is mainly designed for movement coaching and musculoskeletal-injury prevention. It is not a general site-intelligence platform for evaluating vehicle interactions, PPE, pedestrian zones, traffic behavior, spills, obstructions, or other camera-visible conditions.
This focus may be appropriate when ergonomic movement is the principal concern. Organizations that need information across several safety categories may need additional systems.
StrongArm may be relevant when an organization needs several of the following:
Potential applications include distribution, warehousing, manufacturing, food production, delivery, healthcare, construction, and other operations with defined worker groups performing repetitive physical tasks.
The platform may be most useful when the organization has clear participation procedures, worker involvement, constructive coaching practices, and the ability to make engineering or process changes when movement data indicates that the task itself requires improvement.
Voxel approaches ergonomic risk from the work-area level. Its ergonomic risk detection analyzes connected camera views for supported events such as improper bends, unsafe lifts, repetitive-motion risks, high-strain postures, and overreaching.
Event footage can show the task and any workstation, materials, equipment, or surrounding activity visible within the connected camera view. This can help safety teams examine whether a movement is associated with technique, pallet position, workstation height, material flow, equipment access, or another observable condition.
Voxel does not require every visible worker to check out or charge an individual movement sensor. Its coverage instead depends on camera placement, visibility, lighting, resolution, and whether the activity can be assessed from the available view.
Voxel also supports other camera-visible industrial use cases. Depending on the validated deployment, these may include:
This broader scope may be relevant when ergonomics is one part of a larger industrial-safety program. It does not replace personal sensors or detectors for risks that cannot be determined through video.
MSI provides a relevant comparison between wearable information and camera-based visual evidence. Before implementing Voxel, MSI had used a wearable ergonomics solution, but its site teams found the information subjective and difficult to translate into action.
Voxel used the company’s existing cameras to provide visual evidence involving ergonomics, vehicle behavior, and PPE. The MSI customer story reports that the Orange facility reduced lost-time injuries by 50% and workers’ compensation costs by 73% during the first six months. MSI later expanded the platform to four additional facilities.
The result reflects MSI’s specific program and interventions. It does not demonstrate that camera-based monitoring replaces every wearable use case. It illustrates how visual context may help teams understand the task and surrounding work environment.
Voxel organizes supported events into footage, dashboards, daily summaries, and multi-site trends. Teams can create recommended actions, assign owners, set deadlines, track completion, and review whether event patterns change after an intervention.
Potential responses may include:
Voxel does not use facial recognition and provides face and body blurring, role-based access, and enterprise security controls. Organizations should still communicate clearly with workers about camera use, access, retention, and the role of footage in coaching or operational review.
StrongArm’s SafeWork Sensor evaluates selected movement factors associated with ergonomic risk, including bending, twisting, tilting, repetition, and movement speed. The system can provide vibration, sound, or visual feedback when configured thresholds are crossed. It also produces individual and group-level information for coaching and trend analysis. Buyers should confirm the current movement definitions and how they apply to the jobs being evaluated.
StrongArm can contribute movement information, but it does not replace a complete task assessment. Load weight, grip, reach, frequency, workstation height, force, duration, worker variability, and existing controls still need to be considered. A single back-mounted sensor may not capture every factor affecting musculoskeletal loading. Its findings can be combined with observation, worker feedback, and established ergonomic methods.
StrongArm is a worker-worn system that provides immediate movement feedback to equipped employees. Voxel analyzes supported visible activity across connected camera views and supplies footage of the task and surroundings. StrongArm focuses on individual movement coaching, while Voxel focuses on work-area context, visual trends, and corrective-action workflows. Some facilities may use both approaches for different parts of an ergonomics program.
Buyers should ask what information is associated with each worker, who can view individual scores, how participation is tracked, how long records are retained, and whether the information may be used for disciplinary or employment decisions. StrongArm states that its sensor omits GPS, audio, and video, but its dashboard can still contain identifiable movement and participation information. A written policy should define the safety purpose and permitted uses before rollout. Workers and relevant representatives should be involved in the implementation process.
Voxel analyzes connected camera views for supported ergonomic events such as improper bends, unsafe lifts, high-strain postures, repetitive-motion risks, and overreaching. Event footage and trend reporting can help teams identify which workstations, shifts, or processes warrant closer assessment. Organizations can use those findings to guide coaching, workstation changes, material repositioning, mechanical assistance, or other corrective actions. Worker-worn sensors may still be used selectively when individual movement feedback is needed.
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