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.