Your existing cameras check products, stock and safety for you.
A line-mounted vision system that images every weld bead and flags porosity, undercut, spatter, cracks, and burn-through in real time. It classifies defect type and severity, marks the exact position on the seam, and gates the part before it moves downstream.
Fixed cameras or associate phone sweeps detect empty facings, misplaced SKUs, and deviations from the planogram across every aisle. It ranks gaps by lost-sales impact and pushes restock tasks to store staff.
A camera or phone photo of any analog dial, manometer, or thermometer is converted into a precise numerical reading and logged. It handles reflections, parallax, and odd scale ranges after a one-time per-gauge calibration.
At the gate, cameras read the container number and bolt-seal ID and confirm the seal is intact and matches the manifest. Mismatches or tampering hold the container for inspection.
Cameras over the parcel line photograph every package and detect dents, crushing, tears, wet damage, and leaks before dispatch or on receipt. Each damaged parcel is diverted and documented for claims.
Overhead or corner cameras track free versus occupied spaces across a lot or garage in real time. Live counts feed signage, an app, and revenue/utilization analytics.
Farmers photograph leaves or scout with a drone and the system identifies specific diseases, nutrient deficiencies, and pest damage with a confidence-scored diagnosis. It maps affected zones and flags them for your agronomist to confirm and treat.
An automated optical inspection station images populated circuit boards and detects missing components, wrong parts, tombstoning, bridging, and cold solder joints. Defective boards are flagged with per-component coordinates for rework.
Cameras across the loom or inspection frame scan running fabric for holes, slubs, stains, weave errors, and color streaks at full line speed. Each flaw is marked, sized, and logged to a roll map for grading.
On the bottling or jar line, cameras confirm each container is filled to spec and flag under-fills, over-fills, and foaming before capping. Out-of-spec units are rejected and logged for line control charts.
Vision verifies each product label is present, correctly positioned, unwrinkled, and legible, and cross-checks printed text, lot codes, and expiry against the expected values. Mislabeled units are rejected before packing.
The system reads 1D/2D codes on product and packaging and grades them to ISO/IEC print-quality standards, flagging codes that will fail downstream scanners. It reports the exact failure axis such as contrast, quiet zone, or axial nonuniformity.
Cameras confirm every bottle or jar has a cap present, seated straight, and correctly torqued-position, plus an intact tamper band. Missing, cocked, or high caps are rejected before palletizing.
As eggs pass on the grader, cameras and candling-style lighting detect hairline cracks, dirt, blood spots, and misshapes, and grade by size and quality. Cracked or dirty eggs are diverted automatically.
On the pack line, cameras assess fruit and vegetables for ripeness, size, color, bruising, and blemishes and route each item to the correct grade lane. Grading rules are tuned per customer specification.
Boards moving on the mill line are scanned for knots, splits, wane, and warp, and pre-sorted by grade class for your certified grader to confirm, with optimal cut-point suggestions. Defect maps drive the optimizer saw for maximum yield.
Vision scans ceramic tiles, stone slabs, and countertops for cracks, chips, glaze defects, and shade variation. It grades each piece and flags shade batches so like tiles ship together.
Cameras with specialized lighting inspect glass bottles and jars for chips, cracks, stones, bubbles, and stress birefringence at the finish and body. Defective containers are rejected before filling.
Vision (and optional X-ray) inspects metal castings and machined parts for porosity, inclusions, cold shuts, and surface defects. Each part gets a pass/fail with a defect-location map for the foundry.
A drive-over or handheld station measures tread depth across the tire, detects uneven wear, cuts, bulges, and reads the DOT/size markings. It produces a per-vehicle tire health report at intake.
A guided phone capture of a vehicle detects dents, scratches, cracked glass, and panel damage and maps each to a repair/estimate line item. It compares against check-in photos so a staff member can confirm any new damage before anyone is charged.
Cameras at entries read license plates and match them to allow/deny lists, opening the barrier for authorized vehicles and logging all movements. It handles multiple regions, plate formats, and low light.
Overhead cameras measure queue length, join/serve rates, and predicted wait time at counters, checkouts, or entrances. Staff get open-a-till alerts when waits breach a threshold.
Store cameras count visitors and build zone-level dwell-time heatmaps by zone and display, all anonymized. Merchandisers see which fixtures attract and hold shoppers.
Cameras watch factory and retail floors for liquid spills, oil leaks, and wet patches and alert staff to slip hazards. Recurring leak locations are flagged for maintenance.
Cameras over the conveyor detect foreign material, tramp metal, plastic, and off-spec items in bulk product flows and trigger an air-reject or diverter. It learns the normal product appearance to catch anything unusual.
At the end of a station, vision confirms all required parts, clips, screws, and connectors are present and correctly positioned before the unit advances. Missing or wrong parts halt the line with a callout image.
Vision verifies wire routing, connector seating, terminal color/position, and lock-tab engagement on assembled harnesses. It flags mis-routed or unseated connectors before the harness ships.
Vision inspects molded plastic parts for flash, short shots, sink marks, flow lines, burns, and color deviation right at the press. Defective shots are rejected and recurring defects flag mold or process drift.
Under controlled lighting, vision detects orange peel, runs, sags, dust nibs, scratches, and coverage gaps on painted surfaces. Each defect is located and sized for touch-up routing.
Fixed or drone cameras track rust, corrosion, and coating breakdown on tanks, structures, and equipment over time. It quantifies affected area and growth rate to prioritize maintenance.
A drone flies a building and the system detects missing shingles, cracked tiles, flashing gaps, water staining, and facade cracks, mapping each to a location. It produces an annotated condition report and repair estimate.
Drone thermal and electroluminescence imaging detects hotspots, cracked cells, PID, and dead strings across a PV array. Each fault is geolocated to the exact module and string for repair crews.
Drone or ground imagery of turbine blades is analyzed for cracks, erosion, lightning damage, and delamination, sized and located along the blade. It builds a severity-ranked repair schedule.
Dash or pole cameras on any vehicle detect and geolocate potholes, cracking, rutting, and faded markings across a road network. It grades pavement condition into a prioritized repair map.
Site photos, 360 captures, or drone flights are compared against the BIM/schedule to verify installed elements and quantify percent complete per zone. Deviations and missing work are flagged for the PM.
With a reference marker or calibrated setup, the system measures object dimensions, areas, and volumes from photos to tight tolerance. It exports measurements for quoting, packing, or QC.
Cameras at the wrap or dock check pallet stack height, overhang, lean, and wrap integrity against loading rules. Non-conforming pallets are flagged before they go on the truck.
Cameras over the dock door count and identify cartons/SKUs loaded or unloaded and reconcile against the shipment manifest in real time. Discrepancies trigger a hold before the doors close.
Camera sweeps or phone captures read shelf labels and compare displayed price, promo, and unit price against the POS system. Mismatches and missing labels are queued for correction.
A camera at the pass checks each plated dish against the reference for portion, components present, and presentation before it leaves the kitchen. Off-spec plates are flagged to expo for correction.
Vision (optionally with X-ray or hyperspectral) inspects food products on the line for foreign material, off-color, and defects and rejects contaminated items. It logs each rejection for your food-safety team's records and supplements, never replaces, your existing metal-detection or X-ray control points.
Cameras (with optional NIR) inspect coffee beans, grains, or seeds for defects, foreign material, discoloration, and size, driving an air-ejector sorter. It grades lots and reports defect composition.
Cameras over pens, gates, or alleys count animals and analyze gait to score lameness and mobility. Flagged animals are listed for the vet or herdsman before conditions worsen.
Overhead or side cameras estimate body-condition score and weight of cattle, pigs, or sheep from image geometry, without a scale. Trends drive feeding and health decisions per animal.
Ceiling cameras monitor flock distribution, activity, piling, and mortality in poultry houses and alert on abnormal patterns. Early warnings surface ventilation, disease, or welfare problems.
A camera on a sprayer boom distinguishes crop from weeds in real time and actuates individual nozzles to spray only weeds. It logs treated areas and herbicide saved per pass.
Ground or drone imagery counts fruit on trees and estimates size distribution to forecast yield and harvest timing. Block-level maps guide labor and logistics planning.
Multispectral cameras track plant vigor, water stress, and early disease across greenhouse rows and map affected zones. Growers get zone alerts before symptoms are visible to the eye.
Microscope images are analyzed to count and classify cells, colonies, or particles far faster and more consistently than manual counting, for research and industrial QC labs (not for clinical diagnosis). It exports counts, ratios, and morphology stats to the lab system.
For labs counting colonies on agar plates by hand. A phone or fixed camera counts and sizes colonies, tells types apart and handles overlaps, logging counts and concentrations with a photo for the record.
A phone photo of the dashboard and VIN plate reads mileage and the vehicle identification number and cross-checks format and plausibility. It flags likely odometer rollback and feeds vehicle intake systems.
Customers or field staff photograph gas, water, or electricity meters and the system reads the digits or dials, including register and unit. Implausible jumps are flagged to prevent billing errors.
On the press, vision checks color registration, ink density via color bars, streaking, and misprints across the web. Out-of-tolerance sheets are flagged and press adjustments are recommended.
Calibrated cameras measure color of fabric, dye lots, or products and compute Delta-E against the standard to catch shade drift. Out-of-tolerance lots are flagged before they ship or continue.
Cameras inspect returned goods and rental equipment for damage, missing parts, and wear to grade restock condition automatically. Each return gets a graded condition record with photos for refund decisions.
Drones or fixed cameras scan racking to detect empty slots, misplaced pallets, and location-label reads, reconciling against the WMS. Discrepancies become cycle-count tasks automatically.
A camera inside coolers, vending machines, or smart fridges recognizes products and counts stock and facings for restock and planogram compliance. It reports depletion and out-of-stock in near real time.
For consumer electronics, appliances, and trim, vision detects fine scratches, dents, and cosmetic blemishes under controlled lighting that human inspectors miss. It grades cosmetic quality and routes rework or downgrade.
A combined station checks fill level, cap, label, date code, and container defects in one pass on the beverage line. Any single failure rejects the unit with a categorized reason.
A guided capture or fixed gantry inspects buses, vans, or trucks for damage, missing panels, fluid leaks, and tire condition before departure. Findings are logged to the maintenance system with photos.
Vision inspects battery cells and modules for surface defects, electrode alignment, weld quality on tabs, and leakage signs. Defective cells are rejected with defect maps to protect pack safety.
Camera sweeps of chilled and fresh sections detect discolored produce, damaged packaging, and near-expiry facings for markdown or removal. It builds a waste-reduction and freshness task list.
Guided phone capture of a rental or property documents condition, detecting damage, wear, and cleanliness issues room by room. It produces a dated, comparable condition report for move-in/move-out disputes.
Cameras at entries and zones count people in and out to maintain live occupancy against licensed capacity. It alerts managers before limits are breached and logs occupancy for your records (an aid to your door staff, not a certified capacity-control system).
Staff photo captures of restrooms, kitchens, and facilities are checked for cleanliness, stocked supplies, spills, and required signage against a checklist. Failing items become work orders automatically.
For product and e-commerce photography, the system checks each image for background, framing, exposure, focus, and spec compliance before it enters the catalog. Non-compliant shots are flagged for reshoot with the specific failure.
Drone or fixed cameras estimate stockpile volume of aggregates, logs, or bulk material for inventory and reconciliation. It tracks volume changes over time against expected consumption.
Crawler or pole-camera footage of pipes and manholes is analyzed for cracks, root intrusion, blockages, and joint defects, pre-coded in your inspection standard's format for your certified inspector to review and sign. Findings are chained to distance for repair planning.
Line-scan cameras inspect moving steel strip and coil for scratches, rolled-in scale, pits, and edge defects at high speed. Each defect is classified, located on the coil map, and severity-graded.
Vision verifies furniture and cabinetry assemblies for correct panels, drilled holes, hardware presence, and finish before packing. It flags missing hardware or wrong panels that cause customer complaints.
Time-lapse and live cameras track equipment presence, deliveries, and activity on a construction site to measure utilization and verify work windows. It surfaces idle equipment and unauthorized after-hours activity.
For utility locators and civil contractors using ground-penetrating radar carts or drones. The AI reads the raw radar data, marks likely pipes, cables, rebar and voids with estimated depth, and gives your surveyor a draft map to check instead of reading every line by eye.
For sites with pressure vessels, storage tanks or pipes already fitted with acoustic sensors. The AI listens to the sensor bursts in real time, separates real leak and crack-growth signals from ordinary plant noise, and alerts your integrity team with the likely location.
For operators of high-voltage switchgear, transformers and cable joints with partial-discharge sensors already installed. The AI reads the discharge patterns, sorts them by type and severity, and tells your engineers which equipment needs attention first.
For ports and dredging contractors that survey the seabed with multibeam sonar. The AI compares each new survey with earlier ones, maps where silt has built up or the bottom has been scoured, and gives your planners clear change maps for dredging decisions.
For quality-control labs running spectroscopy and chromatography instruments. The AI reads the raw instrument exports, identifies composition and likely contaminants, and flags results that need an analyst's review, so routine samples clear faster.
For metal labs that rate micrographs by eye. The AI measures grain size and rates inclusion content straight from your microscope images, following the standard methods you use, and passes borderline images to your metallurgist.
For machine shops and moulders that 3D-scan parts on the inspection bench. The AI lines up each scan with its CAD model and checks flatness, position, profile and other tolerances automatically, producing a colour deviation map and a pass, fail or review result.
For builders and corridor owners who already capture laser scans. The AI compares as-built scans with your design model to find where construction deviates, and on pipe or rail corridors marks vegetation growing too close to your assets.
For mines, quarries and large industrial sites that need to watch big areas. We pull free open satellite imagery for your named sites and train AI to flag changes over time, like new clearing, vegetation stress or footprint growth, without buying paid imagery.
For mines, pipe and cable routes, dams and slopes where small ground movements give early warning. We process free open radar satellite imagery for your named sites to measure ground movement over time, day or night and through cloud, and alert your engineers when an area starts moving faster.
For sites that already take thermal images of switchgear, motors and bearings but rarely have time to study them. The AI learns what normal heat looks like for each asset and raises a work order when a hotspot starts forming.
For cement, steel and glass plants whose furnace or kiln linings wear unevenly. The AI watches your existing thermal camera feed, tells normal process heat from the hot spots that mean thinning lining, and warns your team before a breakout.
For battery makers and testers already filming cells with fast thermal cameras. The AI watches for the quick heat rise that comes before a cell vents and sends an alert to your existing safety system.
For property owners and cold-chain operators who commission thermal surveys but struggle to read them. The AI separates true insulation and seal failures from harmless reflections and ranks repairs by heat lost.
For manufacturers who X-ray castings, welds and composite parts but rely on tired eyes to read every image. The AI reads each radiograph for internal voids, porosity and inclusions and marks them, so inspectors confirm the flagged parts instead of staring at every image.
For food makers whose X-ray scanner checks every sealed pack. The AI, trained on your own scans, flags bone fragments, glass, metal and underfilled packs and sends a reject signal to your line.
For recycling facilities with hyperspectral cameras on their sorting lines. The AI identifies each item's plastic type and contamination from its light signature and tells the sorter where to send it.
For packhouses with hyperspectral scanners on their grading lines. The AI, trained against your own lab tests, reads hidden bruising, sweetness and contamination inside each fruit and tells the grader where to send it.
For paper, film, nonwoven and rubber producers with line-scan cameras over fast-moving material. The AI recognises holes, streaks, gels and other defects at full speed and marks them for your reject system.
For solar, display and specialty glass makers with dark-field and bright-field cameras. The AI finds micro-cracks and uneven brightness patches on every substrate and sends pass or fail to your line.
For makers of fasteners, pills-sized components and small electronic parts with strobed cameras on fast lines. The AI checks every part for defects at full speed and tells your reject system which to remove.
For grain elevators, quarries and bulk handlers with depth cameras over silos, hoppers, trucks or belts. The AI calculates real volume from the 3D shape and feeds it to your inventory system.
For mines, quarries and bulk terminals that already fly drone LiDAR over stockpiles. We process each flight automatically into pile volumes and send them to your inventory system.
For parcel and warehouse operators with a depth camera above the belt. The AI measures each parcel's true size while it moves and sends the dimensions straight to your warehouse or carrier billing system.