Human error and fatigue
Attention drifts on a check that repeats every few seconds, and the last hour of a shift is not the first. The defects that get through are the ones nobody was still looking for.
Vision AI · See Every Part
Turn every camera into an intelligent sensor
Quality, assembly, safety and process, inspected inline at line speed on every part, on the cameras you already have.
The problem
Where manual inspection is costing you
Throughput bottlenecks
A manual check runs at the pace of the person doing it. Once the line runs faster than that, inspection becomes the thing everything else waits for.
Inconsistent standards
Two inspectors, two thresholds. The same part passes on one shift and fails on the next, and the rejection rate moves with whoever is on.
The cost of an escape
A defect found by the customer is a warranty claim, a recall, or an account that does not come back. It is the same defect that cost pennies to catch on the line.
See every part
Deep learning, on the line, in real time
Catch what the human eye misses, at production speed, on every part, every shift.
- Catch defects invisible to the human eye
- Inspect thousands of parts per hour
- Trigger automated alerts & sorting actions
- Keep improving as it learns from new data
High-res capture
Cameras capture every part in real time as it moves down the line.
Deep-learning analysis
Models classify and detect anomalies, defects and missing components.
Automated action
Alerts, rejection and reporting are triggered automatically.
Built to rely on
Inspection you can rely on
Detect in real time
- Catch defects & surface irregularities as parts pass
- Spot missing components with sub-mm precision
- Inspect every part, with no sampling and no gaps
- Human-level accuracy at line speed
Stay consistent
- Remove manual inspection variability across shifts
- Hold AI precision 24/7, without fatigue
- One uniform quality standard on every part
- Audit-ready logs for traceability & compliance
Integrate directly
- Connect cameras directly to your production lines
- Real-time alerts & automated sorting
- Works alongside your existing quality processes
- Plug-and-play with major MES / SCADA platforms
Where it proves its worth
Where you can put Vision AI to work
Surface Defect Detection
- Scratches, dents & paint flaws on body panels
- Weld bead quality & porosity checks
- Coating uniformity inspection
Assembly Verification
- Missing fasteners, clips & seals detection
- Connector & harness placement validation
- Label & barcode presence checks
Dimensional Inspection
- Critical dimension measurement via structured light
- Gap & flush measurement for closures
- Hole presence & diameter verification
Material Integrity
- Casting porosity & crack detection
- Forging surface inspection
- Incoming raw-material quality gates
PCB & Electronics
- Solder joint & component placement check
- Polarity & orientation verification
- BGA & fine-pitch inspection
Packaging & Labelling
- Print quality & OCR verification
- Seal integrity & fill-level inspection
- Pack count & configuration checks
Beyond the quality gate
One camera platform,
One camera platform,
many jobs on the floor
Vision AI isn't only defect detection. Put the same deep-learning platform behind any camera and turn it into an intelligent sensor for safety, process, logistics and security.
Quality inspection
Defects, surface flaws, missing components and dimensional checks: 100% inline, at line speed.
Assembly verification
Confirm every fastener, clip, seal and connector is present and correctly placed before the part moves on.
Safety & PPE compliance
Detect missing helmets, vests, gloves or goggles in real time and alert before anyone enters the line.
Zone & intrusion monitoring
Watch restricted or hazardous zones and trigger an alert the moment a person or vehicle crosses the line.
Process & anomaly monitoring
Spot flame colour, fill levels, flow, spatter or abnormal machine behaviour that no fixed sensor captures.
Counting, sorting & inventory
Count parts, packs and pallets, sort by type or grade, and keep live stock and WIP counts automatically.
OCR & traceability
Read labels, lot codes, serials and barcodes to verify print quality and build a full traceability record.
Ergonomics & activity
Analyse operator movement and cycle steps to catch unsafe posture and standardise manual work.
Security & surveillance
Perimeter watch, unattended-object and abnormal-movement detection across the site, 24/7.
Quality, assured
Human-level accuracy,
Human-level accuracy,
machine-level consistency
Deep-learning inspection runs inline, 24/7, on every part, with no sampling gaps and no inspector fatigue.
The differenceSampling leaves gaps.
Sampling leaves gaps.
Inline inspection closes them
Manual inspection
Slow, subjective, sampled
- Defects slip through when attention drifts
- Only a sample of parts is ever checked
- Standards drift shift-to-shift, person-to-person
- Escaped defects become recalls and claims
With Vision AI
Every part, one standard
- 100% inline inspection at full line speed
- Human-level accuracy, 24/7, no fatigue
- One uniform standard on every shift
- Defects caught, sorted and traced automatically
From samples to production
How a model gets to your line
Step 01
Collect & label
Your good and defective samples are gathered, and the defect classes that matter to your quality gate are labelled.
Step 02
Train & augment
Deep-learning models are trained and augmented to handle lighting, orientation and rare-defect variation.
Step 03
Validate
Accuracy, false-accept and false-reject rates are measured against your acceptance criteria before go-live.
Step 04
Deploy to the edge
The model runs inline on the edge device, inspecting every part and triggering sort/alert actions.
Ongoing
Monitor & improve
New edge cases are fed back and the model is retrained, so accuracy compounds over time.
Live on the line
Inspection, as it happens
Illustrative live figures from a sample deployment.
Parts / min
184
at full line rate
Inspected today
86,420
100% coverage
Defects caught
212
auto-sorted
First-pass yield
97.6%
▲ 1.9 pts
On the same platform
Quality sits inside one production system
Vision AI isn't a bolt-on island. Every defect and image flows into the same intelligence layer as your machines, so quality sits beside OEE and downtime in one view.
- Feed results into the quality module directly
- Trigger PLC sort/reject signals inline
- Push results to MES, ERP and BI
Cameras & lightingon the line
Edge inferenceon-site, real time
Production platformquality + OEE together
MES · ERP · BIsort signals & records
Proven across
Wherever quality can't be a guess
Four kinds of line, one reason for each: the thing that decides pass or fail is too small, too fast or too repetitive for an eye to catch every time.
Automotive & metal
Panels, welds and machined parts, where a surface flaw not found on the line is found by the customer.
Electronics & aerospace
Assemblies where what decides pass or fail is smaller than anyone can reliably see, shift after shift.
Pharma, food & beverage
Regulated lines where every unit has to be checked and the check has to be evidenced, not asserted.
Packaging & labelling
The last gate before a pallet leaves, where a wrong code or a broken seal travels the whole way downstream.
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Before you spec a line
FAQs
Often far less than expected. Your existing good and defective samples are the starting point, augmented and refined with live feedback from your line.
In many cases yes. Where lighting or resolution needs improvement, the right camera and optics are specified so detection stays reliable at line rate.
The part is flagged and can trigger automatic sorting or rejection, an operator alert, and a traceable record that feeds straight into the quality module.
Anywhere with a camera. The same deep-learning platform sits behind cameras for safety and PPE checks, restricted-zone monitoring, counting and sorting, code reading and perimeter security, not just the quality gate.
See Vision AI on your line
Send us a sample use case and we'll assess it on your own parts and tell you what is achievable.