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    QHSEtech

    Protex AI

    Protex AI combines camera-derived events with site data to support safety and operational analysis. Its edge architecture processes video locally and sends processed event information to cloud services. Procurement should cover scene suitability, investigation workload and the data permissions needed for each connection.

    Evidence: Researched profile

    Built from vendor sources checked ; AI-assisted drafting. Documentation review, not a hands-on test. How pages are made

    Who is Protex AI for?

    Manufacturing and logistics sites evaluating repeat visual hazards alongside operational context. Computer-vision and generative or predictive outputs are decision support, not proof that an unsafe act occurred, a substitute for guards or supervision, or a guarantee of compliance or incident reduction. Validate each scene across shifts, lighting, occlusion, PPE, vehicle types and workflow changes; measure false, missed and duplicate events; preserve human review and appeal; and prohibit individual profiling or automated employment consequences. Edge processing and blurring reduce exposure but do not remove privacy, labor, security or AI-governance obligations.

    Worth a scoped pilot when a site needs systematic visibility into repeated vehicle or area hazards. Judge value by actionable findings and investigation effort, not vendor-wide incident-reduction percentages.

    Trial or demo on request. Sources checked .

    Capabilities and scope

    Protex AI is a hybrid edge-and-cloud site-intelligence platform that applies computer vision to live fixed-camera streams and can combine detected events with EHS, operational and sensor data. Safety detection, Protex Intelligence generative or predictive analytics, integrations and operations use cases are distinct capability layers whose entitlement and data flow must be confirmed in the purchased scope.

    Protex AI capabilities, evidence status and source links
    CapabilityEvidenceScope and source
    Existing CCTV and RTSP connectionDepends on scope

    Protex connects to live fixed-position network cameras through RTSP and markets broad camera compatibility. Conduct a camera-by-camera survey for stream access, view, resolution, frame rate, bandwidth, lighting and occlusion; the stated compatibility percentage is not proof that every installed scene is usable.

    CCTV and on-premises stream integrationDetailed architecture, privacy and security guideCurrent platform and product scope
    Hybrid edge detection and cloud reviewDocumented by vendor

    Live streams are described as processed and discarded on the on-site edge appliance. For a configured event, metadata and normally an anonymized encrypted clip of about 10 seconds are sent to the cloud. Confirm clip duration, pre and post-event context, exceptions and support access in the contract.

    Detailed architecture, privacy and security guideEnterprise edge architecture and trust evidence
    Vehicle interaction and movement rulesDocumented by vendor

    Vehicle Control describes speed, wrong-direction travel, vehicle-worker proximity, operation zones and restricted-area events, with rules adjustable by zone, distance, speed, direction and count. Each vehicle class and perspective requires local validation.

    Vehicle-control detections and rules
    Area access, direction and occupancy rulesDocumented by vendor

    Area Control covers people or vehicles moving in the wrong direction, maximum counts and worker proximity to machine zones. A visual event is an indicator; physical guarding, interlocks and access controls remain primary protections.

    Area-control detections and counts
    Behavioral and ergonomic indicatorsDepends on scope

    Published examples include mobile-phone use, handrail behavior, conveyor interactions, overreaching and lifting technique. These observations require context and qualified ergonomic or safety interpretation rather than automatic blame or diagnosis.

    Behavioural-safety detectionsErgonomic-risk detections
    PPE-use detectionDepends on scope

    Protex presents camera-based PPE detection as a configurable safety use case. Confirm each PPE type, color and wearing rule, partial occlusion, visitor or contractor handling, exemptions and performance in representative lighting and views.

    PPE-detection scopeDetailed architecture, privacy and security guide
    Event feed, real-time alerting and corrective actionsDepends on scope

    Safety pages describe event feeds, dashboards, instant alerts for selected breaches and corrective actions based on trends. Confirm actual channels, latency, routing, acknowledgement, escalation, due dates, closure evidence and handling of alert storms.

    Vehicle-control detections and rulesArea-control detections and countsReporting, systems and site-data layer
    Privacy masking and videoless operationDepends on scope

    Per-site options include facial blur, full-body blur, ghosting, no blur and videoless mode in which clips are not retained and only metadata and analytics are available. The customer must choose the least intrusive configuration and document any exceptions.

    Configurable privacy modes and worker-communication supportDetailed architecture, privacy and security guide
    Encryption, access control and audit loggingDepends on scope

    The detailed guide describes TLS 1.2 or later in transit, AES-256 at rest, role-based access, MFA and access audit logs. Request current ISO 27001 evidence, penetration-test summary, architecture, subprocessors, recovery and retention controls through the trust process.

    Detailed architecture, privacy and security guideEnterprise edge architecture and trust evidence
    EHS, BI and operational data integrationsDepends on scope

    The platform describes connections with EHS, BI, WMS, MES, TMS, CMMS, ERP, LMS, scheduling, sensors and PLC data. Confirm a named connector or API, fields, direction, frequency, identity mapping, failure reconciliation, ownership and commercial scope for each system.

    Reporting, systems and site-data layerEHS data integration and agentic workflowsVehicle-control detections and rules
    Predictive Analytics from historical site dataDepends on scope

    Predictive Analytics is presented as scanning uploaded incident, observation, behavior and operational history to flag emerging risk and produce follow-on reports. Forecasts inherit source-data bias, missingness and changing exposure; validate prospectively before relying on recommendations.

    Predictive Analytics product scope
    Protex Intelligence and agentic workflowsDepends on scope

    Protex Intelligence can combine site signals, produce contextual insights or recommendations and support agents that monitor KPIs, investigate and send findings. Human safety professionals remain accountable and must be able to override or reject outputs; confirm approvals before any write-back or triggered workflow.

    Reporting, systems and site-data layerEHS data integration and agentic workflowsResponsible-AI and human-oversight principles

    More capability notes

    2 additional areas. Status describes reviewed sources, not hands-on performance.

    Also watch for: No public numeric subscription verified. Deployment scope needs a written proposal. Detection and workflow suitability require local evaluation.

    Protex AI pricing

    Custom quote

    No numeric public price or standard charging unit was found on the official site. Buyers are directed to a demo or sales conversation. Require the quote to separate sites, cameras, edge appliances and capacity, detection packages, Protex Intelligence and Predictive Analytics, event-clip storage and retention, alert channels, integrations or API, camera or network remediation, implementation, training, support, pilot, renewal, data export and exit costs.

    Pricing sources checked : Selected sources checked; no starting price recorded. Official commercial pages reviewed. No numeric subscription or unrestricted free trial established; request a scoped proposal and clarify any paid pilot.

    Which product scope should the quote cover?

    A deployment can include on-site edge appliances, RTSP camera connections, configurable safety detections and zones, anonymized event clips or videoless metadata, cloud dashboards, alerts, actions, Protex Intelligence, predictive analytics and EHS, BI, manufacturing, logistics, hardware or PLC integrations. Cameras, network remediation, sites, edge capacity, rule packs, cloud retention, integrations, implementation, training and support require a scoped proposal.

    Ask the vendor to identify the product, region, modules, billing unit, contract term and included services in writing.

    Offline work and integrations

    Computer-vision processing is described as running locally on an edge appliance, while event metadata and an anonymized encrypted clip are normally sent to the cloud for review and analytics. Acceptance-test local detection, buffering limits, delayed notifications, clip and metadata ordering, duplicate prevention and reconciliation after reconnection.

    What we could not verify

    11 depend on scope · 1 note

    Demo script

    Pilot exercise: scene and detection acceptance

    1. Select representative day, night and shift-change footage for each vehicle, PPE, area or ergonomic use case.
    2. Document camera, zone, exclusion and sensitivity configuration before running a labelled event set.
    3. Measure true, false, missed, duplicate and invalid events and review failures with workers and safety specialists.
    4. Approve only scenes that meet written thresholds and record a revalidation trigger for layout, camera, lighting or process changes.

    Demo exercise: event to corrective-action closure

    1. Generate a staged or approved historical event and trace edge detection, masking, clip creation and cloud arrival.
    2. Have a reviewer accept, correct or reject it, preserving reason and audit history.
    3. Route an alert and corrective action through the intended escalation and system integration with a named owner and due date.
    4. Close the action with evidence and verify subsequent reporting measures exposure and behavior rather than claiming causation.

    Acceptance test: outage and recovery

    1. Disconnect the site's external connection while representative cameras continue producing staged events.
    2. Record which detections, local notices, clips, metadata, dashboards, alerts and integrations remain available.
    3. Reconnect and verify buffering limits, ordering, timestamps, duplicates, gaps and delayed-notification labels.
    4. Compare results with the written degraded-mode, device-monitoring, support and recovery commitments.

    Ask the vendor to show you

    1. Which cameras and scenes pass the documented technical and detection acceptance criteria?
    2. Which rule packs, safety risks, operations functions and Protex Intelligence features are licensed?
    3. What event metadata and clips leave the site under each privacy mode?
    4. How are false, missed, duplicate and contextually misleading detections corrected and audited?
    5. What works locally during an internet outage and what is buffered for later reconciliation?
    6. Which named EHS, BI, operational, sensor or PLC integrations are included and maintained?
    Use demo checklist

    Questions the sources answer

    Does raw CCTV stream to the Protex cloud?

    The documented design processes live streams on-site and discards the full stream. Configured events normally produce metadata and an anonymized encrypted clip of about 10 seconds for cloud review. Verify exceptions, retention, support access and the selected privacy mode.

    Can Protex operate without retained video clips?

    The vendor documents a videoless mode with event metadata and analytics but no retained or accessible clips. Evaluate whether reviewers can still validate detections and investigate incidents adequately under that setting.

    Does Protex identify or score individual workers?

    The vendor says its models detect events rather than identity, do not perform biometric identification, and are designed for site patterns rather than individual employment decisions. Preserve that boundary in roles, exports, integrations, policy and worker communications.

    Does a detected unsafe event prove a violation?

    No. Camera view, occlusion, rule configuration and context can create false or misleading events. Require trained human review, a correction path and aggregate learning rather than automatic blame or discipline.

    Does Protex AI work offline?

    Local detection is documented, but full dashboard, alert, action and integration operation during an internet outage is not. Test buffering, local warnings, delayed alerts, clip and metadata ordering, duplicates and recovery on the exact architecture.

    Can Protex connect to our EHS and operations systems?

    The vendor describes EHS, BI, WMS, MES, TMS, CMMS, ERP, LMS, scheduling, sensor and PLC integrations. That does not prove a ready connector for a specific system; require a field-level proof of concept and support model.

    Sources and change log

    15 sources, checked
    • : Re-read all 16 sources on 2 October 2026: architecture, privacy, detection and integration statements still match; added the privacy notice's model-training condition to the security check.
    • : Re-checked on 26 September 2026: protex.ai has no pricing page or pricing link and the homepage shows no amount, so the price status is recorded as no amount shown rather than not established.

    Compare with

    Drawn from the profiles behind the Alternatives list above: most category tags shared with Protex AI first, then the closest overlap in documented capability names, then A to Z. Ratings, search demand and sponsorship are not used; rows are shown A to Z.

    • Intenseye

      Shared category tags: 3 (EHS Management, Risk Assessment, others).

      Same: scope, offline, price and trial.

    Browse the category

    Reviews on qhsetech.com

    Star ratings and review counts from the old catalog are not shown: no source for them was recorded.