// Key takeaways
- Pick the device class first: vision sensor, smart camera, controller system or code reader. Then compare brands within that class.
- KEYENCE describes IV3 setup with as little as one OK and one NG image; quick setup is not validation.
- HIKROBOT’s SC1000 to SC3000 vision sensors and SC5000X and SC6000 smart cameras cover the same ground as KEYENCE’s IV and VS series, with different tools per model.
- For code reading, compare KEYENCE SR series and HIKROBOT ID series on your own codes, including DPM and damaged labels.
- Score full offers: hardware, licences, engineering, commissioning, training and named local support.
How do the device classes line up?
KEYENCE divides its vision range into vision sensors and vision systems (KEYENCE vision sensors)(KEYENCE vision systems) and sells a separate range of fixed-mount code readers (KEYENCE code readers). HIKROBOT’s menu lists vision sensors, smart cameras, smart code readers and logistics code readers (HIKROBOT product menu), described in its 2025 Q4 smart product catalogue (HIKROBOT Smart Product Catalogue 2025 Q4). The table puts the two side by side, in each vendor’s own words.
| Device class | KEYENCE series (vendor’s own description) | HIKROBOT series (vendor’s own description) | Typical task |
|---|---|---|---|
| AI vision sensor | IV4 (IV4-H with AI image settings, detection and counting), IV3 (built-in AI for presence and difference checking; set up with at least one OK and one NG image), IV2, IV (includes OCR) | SC1000 (existence, count, measurement tools), SC2000 (including the colour SC2000E), SC3000 (learning-based and multi-object count, OCR, deep-learning detection) | One check at one position: part present, cap fitted, right colour |
| Smart camera | VS series (optical zoom; AI and rule-based tools) | SC5000X and SC6000 smart cameras with built-in VisionMaster algorithms, over 160 tools including deep learning | Several checks in one view; OCR; defect detection |
| Controller-based vision system | CV-X (user-friendly, high-speed cameras), XG-X (flowchart programming; line scan and 3D cameras), VS-G (32-core AI engine, built-in storage) | Industrial area-scan, line-scan and 3D cameras with VisionMaster on an industrial PC | Multi-camera stations, measurement, line scan, 3D |
| PC-based imaging | VJ series (GigE cameras and lights for use with HALCON, LabVIEW, VisionPro, OpenCV and others) | GigE Vision cameras with VisionMaster or third-party software | Plants with their own vision software |
| Fixed-mount code readers | SR-X (AI, auto-focus, full auto-tuning), SR-1000 (auto-focus to 1 m, automatic polarising filter for DPM), SR-700 (ultra-compact), SR-L (label reading), BL-1300 (laser) | ID2000, ID3000 (embedded deep learning, automatic polarisation), ID5000 (up to 20 MP) | Product and part traceability |
| Logistics reading | SR-5000, SR-2000, ST scan tunnel | ID6000, ID7000 logistics code readers | Labels on moving cartons and parcels |
Model names and tool sets change. Confirm the current model and the tools licensed on it in the quotation; a family name alone does not tell you whether OCR, colour or deep-learning tools are included.
When is a vision sensor a sensible starting point?
Start with a sensor-scale proposal when the question is a visible difference at a controlled position: is the clip present, is the cap fitted or is the expected feature facing the camera? KEYENCE describes IV3 as using built-in AI specifically for presence and difference checking, set up by registering at least one OK and one NG image (KEYENCE IV3). On the HIKROBOT side the comparable devices are vision sensors such as the SC1000, whose product page lists existence, count and measurement tools (HIKROBOT SC1000).
| Your requirement | Sensor class is usually enough | Needs a smart camera or system |
|---|---|---|
| Number of checks | One or two at one position | Many features, several positions or views |
| Variants | Few, with recipes switched from the PLC | Many SKUs, each with its own expected values |
| Data | OK/NG output to the PLC | Values, images and records per product to MES or SCADA |
| Measurement | Coarse presence or position | A dimension against a drawing, with a gauge study |
| Reading | Code present and readable | Code compared with expected GTIN, batch or serial; OCR of dates |
| Defects | A clear, consistent difference | Variable defects on textured or reflective surfaces |
When does the task need more engineering?
| Requirement | Question to resolve before choosing |
|---|---|
| Several surfaces or hidden features | How many views are needed, and how will parts be presented? |
| A numerical dimension against a drawing | What optics, calibration, reference method and measurement-system study are needed? |
| SKU or date matching | Where does the expected value come from, and how is changeover confirmed? |
| A defect on varying texture | Which samples train the method, and which independent samples validate it? |
| A moving reject | How are products tracked when the belt changes speed or stops? |
KEYENCE positions its XG-X for advanced users with flowchart-style programming and support for line-scan and 3D cameras, and its VJ series for PC-based environments using third-party software (KEYENCE vision systems). HIKROBOT’s equivalent route is an industrial camera with VisionMaster, which offers graphical, SDK and operator-design development modes (HIKROBOT VisionMaster). Do not treat a sensor and a multi-camera system as equivalent offers.
How do the code readers compare?
KEYENCE describes its SR-X series as AI-powered readers with automatic focus and fully automatic tuning, the SR-1000 with auto-focus up to 1 m and an automatic polarising filter for direct part marks on cylinders and cast metal, and the SR-L for labels on fast lines (KEYENCE code readers). HIKROBOT describes the ID2000 as a compact reader for 1D, 2D and DPM codes, the ID3000 with an embedded deep-learning platform and automatic polarisation, and the ID5000 with up to 20 MP (HIKROBOT Smart Product Catalogue 2025 Q4). On paper both cover DPM, glare control and tuning; only your parts show which reads them reliably.
See DPM code reading for the marking rules and choosing a code reader for HIKROBOT model selection.
Lighting and AI: what does each vendor emphasise?
Both vendors treat lighting as part of the product. KEYENCE’s CA-D lighting series is controlled directly by its vision systems and includes techniques it brands as LumiTrax for surface appearance (KEYENCE vision systems). HIKROBOT publishes a separate light-source catalogue whose glossary explains low-angle, coaxial, shadowless and backlight geometries (HIKROBOT light catalogue). For a buyer the point is the same: the offer should name the light, its geometry and its controller, not only the camera.
On AI, KEYENCE describes the VS-G with a 32-core AI engine and AI tuning on the controller, and the IV series with AI that sets imaging and detection conditions (KEYENCE vision systems)(KEYENCE vision sensors). HIKROBOT lists deep-learning modules in VisionMaster for classification, object detection, OCR and segmentation, plus anomaly detection (HIKROBOT VisionMaster), and learning-based counting on the SC3000X. Whichever is offered, ask which images trained the model, who owns it, and how it is revalidated after a packaging or material change.
| Question for the quotation | Why it matters |
|---|---|
| Which light, geometry and controller are included? | Most failures in the field are lighting changes, not algorithm limits |
| Which AI or deep-learning tools are licensed on this model? | Tools differ by model and licence within one family |
| How many labelled images does the offer assume, and who labels them? | Labelling effort is real engineering time |
| How is a model change validated and recorded? | An untracked retrain changes what the station accepts |
What should a demonstration prove?
Keep a separate test set with normal material variation, borderline faults and awkward positions. Test under the expected enclosure, lighting and movement conditions. A quick setup demonstration is useful for feasibility, but acceptance must also cover product changeovers, false rejects, missed faults and loss of communication.
Worked example. The images used for setup are not the test. A separate challenge set of known-bad units bounds the miss rate; with no misses, the Wilson method in NIST’s handbook (NIST e-Handbook, 7.2.4.1) gives the one-sided bounds below. The same arithmetic applies to both brands.
| Setup images used | Independent challenge set | What a clean challenge result supports (95 % one-sided) |
|---|---|---|
| 1 OK and 1 NG (minimum for IV3 setup, per KEYENCE) | 30 known NG units | Miss rate below about 8 %: shows the fault is caught, little more |
| Several OK and NG covering normal variation | 100 known NG units | Miss rate below about 2.6 % |
| As above, plus borderline cases agreed in writing | 300 known NG units over shifts | Miss rate below about 0.9 % |
For assembly checks, include the PLC interlock and authorised restart. For numerical dimensions, use a gauge R&R study.
How should the commercial comparison be made?
Ask for the full hardware and licence list, engineering, commissioning, training and support responsibilities. Confirm who owns the recipe backup and who can restore production after replacing a device. We did not find published, verifiable information on either vendor’s South African service channels, so ask each supplier to name who repairs, who holds spares and the response terms, in writing.
We propose HIKROBOT where our sample test and delivery scope support it; we do not have equivalent KEYENCE quotations or matched tests that justify a general price or accuracy ranking. addaScan is an independent integrator, not an official distributor. The platform selection guide gives the common quotation checklist.
Frequently asked questions
Is KEYENCE IV3 a PC-based inspection platform?
What is the HIKROBOT equivalent of a KEYENCE IV3?
What is the HIKROBOT equivalent of a KEYENCE SR code reader?
Does AI remove the need for sample testing?
Should every presence check use VisionMaster?
Which supplier provides local support?
Frank Guo is addaScan’s technical lead and writes the technical articles on this site. More about the team → LinkedIn
Sources
- KEYENCE IV3: AI presence and difference checking (Official source; checked 2026-10-26)
- KEYENCE vision sensors: IV4, IV3, IV2, IV series (Official source; read 2026-10-27)
- KEYENCE vision systems: VS, VS-G, CV-X, XG-X, VJ series (Official source; read 2026-10-27)
- KEYENCE fixed-mount code readers: SR-X, SR-L, SR-5000, SR-2000, SR-1000, SR-700, BL-1300, ST (Official source; read 2026-10-27)
- HIKROBOT machine vision product menu (Official source; checked 2026-10)
- HIKROBOT Machine Vision Smart Product Catalogue 2025 Q4 (ID and SC series) (Official catalogue; checked 2026-10)
- HIKROBOT SC1000 vision sensor (Official source; checked 2026-10)
- HIKROBOT VisionMaster: development modes and deep-learning modules (Official source; checked 2026-09-25)
- HIKROBOT Light Source Catalogue 2025 Q3, glossary pp.76–79 (Official catalogue; read 2026-10-27)
- NIST/SEMATECH e-Handbook, 7.2.4.1 Confidence intervals for a proportion (NIST; read 2026-10-27)