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.