Total Recordable Incident Rate (TRIR) is a standard measure used to track OSHA-recordable workplace injuries and illnesses. According to the BLS 2024 incidence rates, manufacturing recorded 2.7 cases per 100 full-time equivalent workers, compared with 2.3 across private industry overall.
For manufacturers working to reduce recordable injuries, software can support a broader safety program by improving hazard visibility, incident reporting, inspections, corrective actions, ergonomics, and leading-indicator tracking. The most useful tools do more than document incidents after they occur; they help teams identify patterns and act on risks earlier.
The following evaluation looks at platforms relevant to manufacturing safety programs in 2026, with attention to proactive risk identification, corrective-action workflows, deployment, and manufacturing use cases.
TRIR measures OSHA-recordable workplace injuries and illnesses relative to hours worked. Under the OSHA incidence-rate formula, the number of recordable cases is multiplied by 200,000 and divided by total employee hours worked. The 200,000 factor represents 100 employees working 40 hours per week for 50 weeks.
Manufacturers should also benchmark against the appropriate subsector. BLS data for 2024 shows a total recordable case rate of 2.7 for manufacturing overall, 3.3 for food manufacturing, and 4.2 for wood product manufacturing.
TRIR is useful for trend tracking, but it should not be treated as the only measure of safety performance. OSHA recommends pairing lagging measures such as injury rates with proactive measures that help organizations understand whether preventive activities are working. Its leading indicators guidance describes leading indicators as proactive and preventive measures that can reveal potential weaknesses before they appear in lagging injury data.
Tracking leading safety indicators alongside TRIR can therefore provide a more complete view of safety-program performance.
Traditional EHS systems commonly support reporting, recordkeeping, investigations, inspections, and corrective actions. AI-based safety platforms can add another layer by helping teams identify recurring physical risk patterns in day-to-day operations.
Computer vision can analyze camera feeds for configured risks such as ergonomic concerns, PPE compliance, vehicle safety, and area-control conditions. These observations can then support coaching, investigations, engineering changes, or corrective actions.
Ergonomic risks are particularly relevant in manufacturing environments involving repetitive movement or manual material handling. NIOSH ergonomics guidance identifies factors such as repetitive work, forceful exertion, and awkward postures as important considerations in work-related musculoskeletal disorders.
AI does not replace established safety-management practices. Instead, it can help expand the amount of information available to EHS teams between scheduled inspections and manually reported events.
Best For: Enterprises seeking an AI-powered site intelligence platform for safety and operational risk in industrial environments.
Voxel uses existing camera infrastructure to provide video-based safety and operational intelligence. Its manufacturing platform is designed for industrial sites and identifies leading indicators of safety and operational risk involving workers, vehicles, equipment, and the workplace environment.
Voxel connects risk identification with action and reporting:
Voxel's current website states that it works with more than 95% of existing IP cameras and can adapt to new environments within 48 hours.
Voxel publishes customer results across manufacturing and other industrial environments:
These are documented safety and operational outcomes. They should not be interpreted as direct TRIR reductions unless a customer source specifically reports a change in TRIR.
Voxel is particularly relevant to manufacturers that want continuous visibility into physical-site risks rather than relying only on manually submitted observations. Its AI is trained on more than five billion hours of real-world industrial workplace scenarios, while models are adapted to individual site environments.
The combination of existing-camera compatibility, risk detection, action management, and documented manufacturing outcomes makes it a strong fit for enterprise safety programs.
EHS Insight is an EHS management platform with workflows for incident reporting, inspections, OSHA recordkeeping, corrective actions, and mobile field use.
EHS Insight is a practical option for manufacturers that prioritize structured incident management and regulatory recordkeeping. Its mobile capabilities can also support facilities where safety information needs to be captured directly on the production floor.
VelocityEHS provides an enterprise EHS platform spanning safety, ergonomics, chemical management, industrial hygiene, contractor safety, operational risk, and environmental compliance.
VelocityEHS fits manufacturers looking for broad EHS functionality across multiple occupational-risk and compliance areas. Its combination of incident management, ergonomics, and chemical-management tools can support safety programs with requirements beyond TRIR tracking alone.
Cority offers an enterprise EHS platform covering safety, occupational health, industrial hygiene, environmental management, quality, and sustainability.
Cority is suited to large organizations that want safety data connected with broader occupational-health and EHS workflows. Its cross-functional approach can support manufacturers managing safety programs across multiple facilities.
SafetyCulture is a frontline operations platform centered on inspections, issue reporting, actions, assets, and mobile workflows.
SafetyCulture is useful for manufacturers that want to digitize inspections and frontline observations without making incident reporting the only source of safety data. Mobile workflows can support frequent checks and corrective-action follow-up across production environments.
Intelex provides cloud-based EHSQ software with applications for incident management, risk, document control, compliance, audits, and analytics.
Intelex supports manufacturers that need configurable EHSQ processes across multiple functions. Its platform can bring incident, document, audit, risk, and compliance workflows into a broader enterprise safety-management environment.
Protex AI uses computer vision to analyze video streams for configured workplace safety and operational risks. Its approach incorporates edge-based processing and anonymization capabilities.
Protex AI is relevant for facilities evaluating video-based safety analytics with an emphasis on privacy-conscious deployment. Its approach combines computer-vision monitoring with event review and response workflows.
Oxmaint is primarily a CMMS and maintenance platform, with manufacturing workflows that can also support safety-related inspections, asset checks, and issue reporting.
Oxmaint may fit manufacturers that want maintenance and asset workflows closely connected to plant-floor inspections. Its work-order capabilities can help facilities connect identified equipment conditions with follow-up maintenance.
GoAudits focuses on digital inspections, audits, reporting, and corrective actions, including health and safety use cases.
GoAudits is a straightforward option for manufacturers building inspection-driven safety programs. Inspection findings, corrective actions, and safety KPIs can be evaluated together rather than relying exclusively on lagging metrics such as TRIR.
Certainty Software provides audit and inspection software with mobile data capture, evidence management, corrective-action workflows, and enterprise reporting.
Certainty is relevant for manufacturers that emphasize structured audits and corrective-action closure. Its approach connects inspection findings to assigned actions and supporting evidence, helping teams document whether identified issues were addressed.
PPE gaps and interactions between pedestrians and powered industrial trucks are two areas where continuous observation can complement inspections and training.
Computer vision can support PPE monitoring and identify configured vehicle safety risks across monitored areas. This can help teams identify recurring patterns that may be difficult to capture consistently through periodic observations alone.
OSHA's forklift pedestrian guidance emphasizes practices such as separating pedestrian and vehicle traffic where possible, maintaining visibility, and using appropriate caution around intersections.
AI-generated observations should complement rather than replace engineering controls, procedures, worker training, and employee participation.
Video-based safety technology should be evaluated for privacy and security alongside detection capabilities. Relevant considerations include whether facial recognition is used, how footage is handled, who can access information, and whether workforce anonymization is available.
Voxel's current manufacturing materials describe SOC 2 Type II-audited controls, encryption in transit and at rest, strict role-based access controls, and workforce-anonymization features such as worker body blurring.
The platform does not use facial recognition. Carlex Glass also worked with United Auto Workers leadership to establish a non-punitive implementation focused on information gathering and training.
Organizations considering video-based safety systems can review additional workforce privacy considerations when planning deployment and employee communication.
Identifying hazards does not by itself resolve them. Safety software can provide more value when observations connect to ownership, deadlines, follow-up, and documented completion.
Voxel's Actions feature allows teams to create interventions from AI-detected events, assign them to specific team members, set due dates, monitor completion, and evaluate the impact of the resulting safety actions.
This creates a clearer path from risk identification to follow-through while giving safety leaders visibility into whether interventions are being completed.
Manufacturers evaluating TRIR-reduction software should distinguish between direct TRIR results and other safety outcomes. Injury reductions, fewer unsafe vehicle behaviors, stronger PPE compliance, more efficient safety workflows, and completed corrective actions may all be relevant, but they are not interchangeable metrics.
Voxel's published customer results include Americold's injury reduction, Piston Automotive's results, and the Port of Virginia outcomes.
These examples show why manufacturers can evaluate safety technology using multiple safety and operational measures rather than treating TRIR as the sole indication of progress.
Voxel is designed for industrial environments and uses existing camera infrastructure to identify configured safety and operational risks. Manufacturing use cases include PPE, ergonomics, vehicle interactions, machine hazard zones, spills, obstructions, and other observable conditions.
The platform connects AI-detected events with recommended actions, ownership, deadlines, progress tracking, and reporting through its risk-to-action workflows.
This allows recurring observations to become part of an organized intervention process instead of remaining isolated events.
Voxel states that its AI is trained on more than five billion hours of real-world industrial workplace scenarios. Models are adapted to individual site environments, including their layouts, operating conditions, vehicles, and configured safety rules.
Voxel works with more than 95% of existing IP cameras and states that it can adapt to a new environment within 48 hours. This can allow facilities with suitable camera coverage to build on existing infrastructure rather than beginning with a full camera replacement.
Manufacturers can request a Voxel demo to evaluate how the platform fits their existing safety program, camera coverage, and priority risk areas.
TRIR measures OSHA-recordable injuries and illnesses relative to total hours worked. The calculation is the number of recordable cases multiplied by 200,000 and divided by total employee hours worked. The OSHA incidence-rate formula explains the standardized calculation. Manufacturers should compare their rate with the appropriate industry or subsector benchmark rather than relying on a single general rate.
AI can support prevention efforts by helping teams identify leading indicators and recurring risk patterns before they appear in lagging metrics. Continuous monitoring can surface ergonomic risk patterns, PPE gaps, vehicle behaviors, and area-control conditions for review and follow-up. The technology works best as part of a broader safety-management program that also includes training, worker participation, inspections, hazard controls, and corrective actions.
TRIR records outcomes that have already occurred. Leading indicators provide information about preventive activities and conditions that can help organizations assess how their safety programs are functioning. OSHA recommends using leading and lagging measures together, while additional safety indicator resources can help teams consider how proactive observations fit alongside TRIR and other outcome metrics.
Some platforms are designed to use existing camera infrastructure, although compatibility and camera coverage should be evaluated for each facility. Voxel works with more than 95% of existing IP cameras and states that it can adapt to new environments within 48 hours. Its site intelligence approach uses existing camera views to identify supported safety and operational risks without requiring a complete camera-system replacement.
Manufacturers should review facial-recognition practices, anonymization, access permissions, encryption, data handling, and workforce communication before deploying video-based safety technology. Voxel does not use facial recognition and provides workforce-anonymization and role-based access controls. Its AI adoption guidance also discusses considerations for introducing AI safety technology in environments where employee and union concerns may need to be addressed.
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