Solutions

Industrial technology selected for real sites and deployed for measurable outcomes.

We help operators evaluate and implement the right mix of computer vision, AI, sensors, connectivity, automation, inspection tools, asset tracking, and industrial software. Our role is to make the system work in the field, not just in a pilot.

Industrial operations rarely need one isolated tool. A warehouse visibility project may require cameras, edge devices, network upgrades, dashboard integration, and operator training. A manufacturing quality project may require lighting, image capture, model tuning, reject workflows, and quality-system integration. Rovek brings the full deployment stack together.

Computer Vision & Visual AI

See, detect, verify, and act.

Computer vision turns cameras into operational sensors. Instead of video being used only after an incident, visual AI can detect events, measure activity, verify processes, and trigger workflows in real time.

Use cases

Safety monitoring, PPE detection, restricted-zone activity, forklift-pedestrian interaction, spill detection, blocked exits, near-miss capture, defect detection, label verification, pallet identification, case counting, dock monitoring, trailer loading verification, construction progress tracking, tank monitoring, remote asset checks, thermal observation, inspection documentation.

Example deployment

A distribution center has cameras above dock doors but still relies on manual checks to confirm whether the right pallets were loaded into the right trailer. We deploy visual AI to monitor the dock, identify load events, capture exceptions, and send alerts to supervisors when a shipment appears incomplete, damaged, or mismatched.

AI Safety & EHS Monitoring

Help safety teams see risk earlier.

Industrial safety teams cannot be everywhere at once. AI-enabled video analytics help identify patterns and events that create risk across warehouses, plants, yards, jobsites, and field locations.

Use cases

PPE compliance, high-risk zones, forklift and pedestrian interaction, line-of-fire events, vehicle speed concerns, unsafe lifting, ladder and lift activity, blocked emergency exits, housekeeping issues, congestion, slip/trip hazards, repetitive near misses, incident reconstruction, and safety trend reporting.

Example deployment

A plant has frequent close calls between forklifts and pedestrians near a production aisle. We assess the site, review camera angles, deploy visual detection zones, configure alerts, and create weekly trend reports so supervisors can address the root cause.

Quality Inspection & Process Verification

Inspect more consistently without slowing production.

AI-enabled inspection supports human quality teams by checking for defects, missing components, incorrect labels, packaging issues, process deviations, and product variation.

Use cases

Surface defects, dents, scratches, cracks, missing parts, incorrect assembly, label and barcode verification, fill-level checks, seal inspection, packaging damage, product counting, weld review, line clearance, batch verification, and rework documentation.

Example deployment

A packaging line has intermittent label errors that are not caught until finished goods are already palletized. We deploy a camera-based inspection point, define pass/fail rules, create an alert workflow, and connect inspection results to quality reporting.

Warehouse, Dock & Yard Intelligence

Know what moved, where it moved, and what needs attention.

Traditional systems often know what should have happened. Computer vision and connected sensors help verify what actually happened — from receiving to putaway, picking, packing, loading, shipping, and yard management.

Use cases

Dock activity monitoring, trailer loading verification, door utilization, pallet identification, case counting, damaged goods detection, misload prevention, forklift path analysis, yard check-in, trailer dwell time, asset location, inventory scanning, returns processing, shipment evidence, and warehouse-system integration.

Example deployment

A warehouse experiences chargebacks from shipment discrepancies. We deploy dock cameras, event capture, load verification, exception tagging, and searchable shipment records so teams can resolve claims faster.

Inventory Visibility & Asset Tracking

Track the physical operation with more confidence.

Inventory and assets are often lost in the gap between physical movement and system records. We deploy tracking systems that show where materials, tools, equipment, pallets, containers, vehicles, and high-value assets are located and how they are being used.

Use cases

Inventory scans, cycle count support, pallet tracking, tool tracking, equipment tracking, mobile asset tracking, yard asset visibility, returnable container tracking, worker-location support for safety, material staging, work-in-progress tracking, and utilization reporting.

Example deployment

A facility loses time searching for shared tools, mobile equipment, and staging materials. We deploy tags, readers, gateways, location rules, and dashboards that show where assets were last seen and how frequently they are used.

Predictive Maintenance & Machine Health

Catch equipment problems before downtime hits.

Predictive maintenance combines equipment data, sensors, visual checks, and AI analytics to detect early signs of failure on motors, pumps, compressors, fans, conveyors, gearboxes, and rotating equipment.

Use cases

Vibration monitoring, thermal monitoring, acoustic monitoring, current monitoring, conveyor health, pump and motor condition, compressor monitoring, bearing issues, lubrication concerns, anomaly detection, maintenance prioritization, spare-parts planning, work-order integration, and reliability dashboards.

Example deployment

A plant has repeated downtime on a critical conveyor system. We deploy condition sensors, add visual monitoring at key transfer points, connect alerts to maintenance workflows, and create a reliability dashboard for maintenance leaders.

Industrial AI Analytics & Process Optimization

Turn operational data into better decisions.

We deploy AI analytics that identify patterns, anomalies, bottlenecks, waste, quality drift, downtime causes, and process improvement opportunities across machines, sensors, operators, quality checks, and enterprise systems.

Use cases

Downtime analysis, production anomaly detection, throughput analysis, energy optimization, yield improvement, root-cause analysis, batch comparison, process drift detection, quality prediction, labor planning, maintenance prioritization, and operational dashboards.

Example deployment

A manufacturing line has variable downtime patterns with no clear cause. We connect equipment data, operator events, and quality checks, then deploy AI analytics to surface the top contributors and the conditions that drive them.

Construction Site Intelligence

Compare what was planned to what is being built.

Site intelligence helps project teams document progress, identify delays, monitor safety, and reduce uncertainty using site cameras, drones, 360 capture, and AI analytics.

Use cases

Progress tracking, work-in-place verification, drone capture, 360 site walks, safety observations, material staging, equipment utilization, issue documentation, punch lists, schedule variance, and owner reporting.

Example deployment

A construction owner needs better visibility across a multi-building project. We deploy site cameras, recurring drone capture, and progress dashboards so the owner and contractor share the same view of work-in-place.

AI Agents & Workflow Automation

Reduce administrative drag across the operation.

AI agents support repetitive operational work such as document search, work-order drafting, shipment communication, inspection reports, and shift summaries — narrow, controlled, and connected to existing workflows.

Use cases

Maintenance manual search, asset history summaries, work-order drafting, shift handovers, shipment exception summaries, inspection report generation, drawing and spec search, RFI and submittal triage, and standard reporting.

Example deployment

A maintenance team spends hours searching manuals and historical work orders. We deploy a controlled AI assistant that searches their documents, summarizes asset history, and drafts work orders that technicians review and approve.

Digital Twins & Reality Capture

A living record of the facility, asset, or jobsite.

Digital twins are most useful when they stay connected to current field conditions. We combine reality capture, visual documentation, and inspection workflows to keep the digital record current.

Use cases

Facility scanning, asset tagging, change tracking, jobsite capture, equipment models, inspection records, virtual site walks, and connected operating records.

Example deployment

A facilities team needs a current spatial record of a complex plant. We deploy scheduled scanning, asset tagging, and a viewer that connects spatial views to inspections and maintenance records.

Connectivity & Edge Infrastructure

Industrial AI depends on dependable field infrastructure.

We deploy cameras, edge devices, networks, cabling, power, rugged hardware, and device management — the physical layer that determines whether an AI system works at all.

Use cases

Camera networks, edge compute, industrial networking, private wireless readiness, cabling, power, enclosures, mounts, lighting, device management, remote support, and cybersecurity coordination.

Example deployment

A distribution center wants to deploy vision across multiple zones but lacks the network and power to support it. We design and install the infrastructure first, then layer the vision system on top.

Robotics, Drones & Autonomous Inspection

Use autonomy where it actually helps.

We help operators decide where robotics, mobile robots, and drones genuinely improve safety, coverage, or efficiency — without forcing autonomy into problems better solved with cameras, sensors, or workflow automation.

Use cases

Drone-based inspection, autonomous patrol, mobile mapping, autonomous material movement evaluation, and inspection automation.

Example deployment

An energy operator is evaluating drones for routine inspection of a remote facility. We compare drone-based inspection against fixed cameras and sensors, and recommend a hybrid approach with clear cost and safety justification.

Engage

Tell us what you need to see, track, fix, prevent, or improve.

We will help assess the site, define the use case, identify the right solution path, and build a practical deployment plan.

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