When to review industrial 2d cameras.
The Industrial 2D Cameras route fits defect inspection, dimension measurement, robot positioning projects. Match resolution to smallest detectable feature.
Product route
Area-scan, USB3, GigE, global-shutter, high-speed, high-resolution and special-spectrum industrial cameras for machine vision.
The Industrial 2D Cameras route fits defect inspection, dimension measurement, robot positioning projects. Match resolution to smallest detectable feature.
Area / line scan, GigE / USB3.0, High-speed options are only the starting point. Also confirm field of view, working distance, line speed, interface, trigger timing and mounting limits.
Measure trigger-to-exposure timing independently of image delivery. Host receipt time includes readout, transfer and scheduling and is not the exposure-start time.Measure hardware-trigger delay and jitter
Moving parts can blur even when the frame rate is high. This test converts object speed and image scale into an exposure ceiling, then verifies that ceiling on the actual moving edge.Calculate exposure limits from conveyor speed
Share sample images, good and bad parts, current reference model, target defect, tolerance, production speed and available fixture space.
When this route is a good fit
Many buyers compare camera categories, manufacturer references and interface routes before RFQ. A safer review connects camera type, lens, lighting, trigger and inspection constraints before selecting a part number.
Buyers compare area-scan, USB3, GigE, global shutter, frame rate, sensor size and factory integration. The RFQ path should show when each constraint changes the route.
Camera interface, resolution calculation, lens selection and lighting notes should reinforce this page so the buyer can confirm one coherent inspection route before quotation.
Swipe horizontally to compare buyer situation, inspection constraint, recommended route and what to send.
| Buyer situation | Inspection constraint | Recommended route | What to send |
|---|---|---|---|
| Industrial 2D area-scan review for presence, defect, measurement and robot-positioning images | Two-dimensional factory inspection project | Industrial 2D area-scan route for presence, defect, measurement and robot-positioning images. | Send FOV, smallest feature, working distance, motion, exposure limit and good/bad samples. |
| Area-scan camera review with lens, lighting and trigger review | Fixed image-capture station | Area-scan camera route with lens, lighting and trigger review. | Send FOV, smallest feature, line speed, interface and mounting envelope. |
| USB3 review for short cable, high-bandwidth and compact inspection cells | Short-distance high-bandwidth camera connection | USB3 route for short cable, high-bandwidth and compact inspection cells. | Confirm cable length, host PC, frame rate and trigger method. |
| Snapshot inspection for indexed parts, robot guidance and presence checks | Indexed area-scan image capture | Snapshot inspection for indexed parts, robot guidance and presence checks. | Send part stop/motion condition, exposure limit and fixture stability. |
| High-frame-rate review when exposure time and lighting intensity are limiting | High-speed exposure and trigger review | High-frame-rate route when exposure time and lighting intensity are limiting. | Provide parts per minute, motion blur target and lighting geometry. |
| Industrial camera review for factory inspection, measurement and automation cells | Camera component RFQ | Industrial camera route for factory inspection, measurement and automation cells. | Send FOV, smallest feature, trigger method, interface and mounting envelope. |
| GigE industrial camera review for longer cable runs and distributed machine layouts | Longer cable camera layout | GigE industrial camera route for longer cable runs and distributed machine layouts. | Confirm cable length, bandwidth, frame rate, PoE needs and host architecture. |
| Inspection-camera review paired with lens, lighting and pass/fail criteria | Inspection camera route review | Inspection-camera route paired with lens, lighting and pass/fail criteria. | Provide good/bad samples, defect size, exposure limit and reject-output requirement. |
| CCD-to-CMOS mapping review. Most industrial CCD lines are discontinued or end of life, so a CCD line item usually means the drawing predates the sensor change rather than that CCD is required. We match pixel size, optical format, full-well and quantum efficiency to a current global-shutter CMOS part, then re-verify on your samples | Spec sheet or drawing still calls for a CCD sensor | CCD-to-CMOS mapping route. Most industrial CCD lines are discontinued or end of life, so a CCD line item usually means the drawing predates the sensor change rather than that CCD is required. We match pixel size, optical format, full-well and quantum efficiency to a current global-shutter CMOS part, then re-verify on your samples. | Send the original CCD part number or drawing, the pixel size and optical format it assumed, and the lens already in the fixture. |
| Compact-envelope review: board-level and remote-head cameras, right-angle mounts and short-back-focus lens options. The body is rarely the binding constraint — the lens stack, connector direction and cable bend radius are, and GigE and USB3 differ enough there to change the answer | A tight mounting envelope decides the camera before image quality does | Compact-envelope route: board-level and remote-head cameras, right-angle mounts and short-back-focus lens options. The body is rarely the binding constraint — the lens stack, connector direction and cable bend radius are, and GigE and USB3 differ enough there to change the answer. | Send the mounting envelope in three dimensions, the cable exit direction, the shortest bend radius the fixture allows, and the working distance you cannot change. |
| Cost-driver review rather than a list price. Resolution, sensor format, global versus rolling shutter and interface set most of the camera cost, but on a real inspection station the lens and lighting together often exceed it. Quoting a camera alone tends to under-budget the line | Budgeting before a specification exists | Cost-driver review rather than a list price. Resolution, sensor format, global versus rolling shutter and interface set most of the camera cost, but on a real inspection station the lens and lighting together often exceed it. Quoting a camera alone tends to under-budget the line. | Send FOV, smallest feature, line speed and the acceptance target so the quote covers the imaging route rather than one part number. |
| Disambiguation step. A machine vision camera differs from a document or handheld inspection camera in the respect that matters: it accepts an external trigger and holds exposure repeatable frame to frame. If the station has no trigger and no repeatability requirement, the cheaper review is usually correct | Generic phrasing, route not yet decided | Disambiguation step. A machine vision camera differs from a document or handheld inspection camera in the respect that matters: it accepts an external trigger and holds exposure repeatable frame to frame. If the station has no trigger and no repeatability requirement, the cheaper route is usually correct. | Confirm whether images must be captured on a trigger, and whether the same part must produce the same image twice. |
How buyers should compare this route
Industrial 2D Cameras should be evaluated when the project is tied to defect inspection, dimension measurement, robot positioning. A useful review starts from the part behavior, target feature, motion condition and current failure mode, then maps those limits to the right component family instead of forcing one catalog model.
Use industrial 2d cameras selection as a system decision: lens, lighting, fixture, trigger, interface and software all affect repeatability. The safest shortlist is created only after sample images, line speed and output constraints are reviewed together.
What engineering should confirm first
This workflow keeps the RFQ focused on the real inspection constraint and reduces the risk of buying a component that works on paper but fails under production lighting, motion or fixture variation.
Reviewed selection basis





Model parameter matrix
Reference model: MV-GE307GM · Supplier: MindVision
Manufacturer specs reviewed Official PDF Request this routeReference model: MV-GE507GM · Supplier: MindVision
Manufacturer page reviewed Official PDF Request this routeReference model: MV-SUC2100C · Supplier: MindVision
Manufacturer specs reviewed Official PDF Request this routeSwipe horizontally to compare reviewed model parameters. Use the mobile cards above on small screens.
| Parameter | GigE monochrome area-scan camera DY-GE307GM Reference model: MV-GE307GM · Supplier: MindVision Manufacturer specs reviewed Official PDF | GigE monochrome area-scan camera DY-GE507GM Reference model: MV-GE507GM · Supplier: MindVision Manufacturer page reviewed Official PDF | USB3.0 color area-scan camera DY-SUC2100C Reference model: MV-SUC2100C · Supplier: MindVision Manufacturer specs reviewed Official PDF |
|---|---|---|---|
| Resolution / frame rate | 2048 x 1536 MAX @37FPS | 2448 x 2048 MAX @24fps | 5280 x 3956 MAX @18FPS |
| Effective pixels | 3MP | 5MP | 21MP |
| Sensor / shutter | CMOS, global shutter | GPIXEL-GMAX3405 CMOS, global shutter | 4/3 inch CMOS, rolling shutter |
| Pixel size | 3.4 x 3.4um | 3.4 x 3.4um | 3.3 x 3.3um |
| Output format | Mono 8/12bit | Mono 8/12bit | Bayer GR 8bit |
| Interface | GigE / RJ45 | GigE / RJ45 | USB3.0 |
| Power | DC12-24V; optional POE48-57V | 12-24V and optional POE48-57V | USB 5V or aviation connector 12V-24V |
| Body / lens mount | 29 x 29 x 40mm, C/CS mount | 29 x 29 x 40mm, C/CS mount | 59.5 x 59.5 x 38.5mm, C mount |
| RFQ notes |
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Related solution routes
Use calibrated lenses, lighting and cameras to stabilize measurement under production conditions.
SolutionVision routes for pickup, positioning, alignment and assembly verification.
SolutionBuild automated visual inspection systems for defect detection, presence checks, surface inspection, orientation, measurement and repeatable pass/fail output.
SolutionBuild flexible small-part loading cells with F/FL/FS feeder trays, optional storage bins, vision positioning and DTA robot pickup routes.
Application case briefs
Application brief for checking connector pin presence, orientation and bent-pin risk with camera, lens and controlled lighting.
Automotive parts inspectionApplication route for scratches, burrs, dents and reflective metal surface checks using lighting-first machine vision selection.
Battery inspectionApplication route for battery tab, weld and height checks where 2D contrast alone may not prove geometry.
Robot guidanceApplication route for robot pick, positioning and assembly guidance using 2D or 3D vision based on part presentation.
Related buying guides
Translate a Basler, Allied Vision, Baumer, IDS or Teledyne datasheet into the four values that decide whether another camera fits: sensor format, pixel size, interface and shutter.
ResourceCompare line scan and area scan cameras by motion type, material width, defect size, encoder timing, lighting stability and integration risk.
ResourceChoose machine vision lighting by surface finish, defect direction, camera angle, working distance and acceptance evidence instead of choosing by light shape alone.
ResourceBreak down cameras, lenses, lighting, controllers, software, I/O and fixtures in an industrial vision system.
ResourceAn evidence-led guide to how metric 3D reconstruction, active view planning and uncertainty connect world models with traceable industrial vision metrology.
ResourceCompare 2D and 3D inspection methods for defects, dimension, height, volume and surface geometry tasks.
ResourceEstimate camera resolution from field of view, smallest feature size and measurement tolerance before selecting a sensor.
ResourceEvaluate a machine vision camera supplier by application review quality, sample evidence, optical route support and integration handoff.
ResourceChoose a machine vision supplier by application engineering, sample testing, component route coverage, export support and integration documentation.
ResourceSelect industrial cameras for machine vision by sensor size, shutter type, resolution, interface, frame rate and lighting constraints.
ResourceCompare GigE, USB3, line-scan and trigger I/O interface choices by cable length, bandwidth, frame rate, exposure timing and machine integration route.
ResourceSelect machine vision lenses by field of view, sensor size, working distance, aperture, distortion, resolution and whether the task needs telecentric measurement stability.
ResourceCompare backlight and coaxial machine vision lighting for silhouette measurement, flat reflective surfaces, printed marks and surface feature contrast.
ResourceChoose between ring light and dome light by surface reflectivity, shadow control, curvature, defect type, working distance and mechanical space.
ResourceCollect the details engineering teams need before requesting cameras, lenses, lighting, readers or inspection systems.
ResourceUnderstand how working distance affects field of view, lens choice, lighting geometry, fixture design and inspection stability.
ResourceCompare smart cameras and PC-based machine vision systems by inspection complexity, I/O, multi-camera logic, data handling, maintenance and expansion risk.
ResourceChoose GigE when the camera is far from the host, the cell is distributed or industrial network routing matters. Choose USB3 when the camera is close to the host and the application needs short-cable high-bandwidth acquisition with controlled cable routing.
ResourceSelect laser profilers and 3D profile sensors by profile width, height range, Z resolution, speed, surface reflectivity, mounting angle and repeatability target.
ResourceDesign a visual inspection system by defining defect criteria, sample set, optics, lighting, fixture, trigger, I/O and acceptance tests.
ResourceDefine machine vision acceptance tests with good/bad samples, repeatability checks, false-pass risk, read-rate targets, station timing and integration handoff notes.
ResourcePlan flexible feeder robot loading for screws, terminals, contacts and small molded parts by part behavior, tray route, vision positioning and pickup repeatability.
ResourceSelect lighting for reflective metal scratch, burr and surface defect inspection by glare behavior, defect direction, camera angle and acceptance evidence.
ResourcePlan EV battery weld-height inspection by profile width, Z tolerance, reflective surface behavior, trigger timing and reject output.
ResourceCompare industrial cameras and regular cameras by trigger control, lens route, interfaces, repeatability and factory integration.
Reference alternatives
Compare compact and embedded camera requirements by size envelope, interface, power budget and host platform.
CompareCompare combined optics, lighting and sensor routes when the inspection task is fixed and the geometry is tight.
CompareCompare an integrator-supplied build with a factory-direct component route when the integration work stays in house.
CompareA neutral selection guide for teams comparing Keyence-style integrated vision systems with component-level inspection routes.
CompareCompare Cognex-style machine vision camera requirements with inspection goals, lighting constraints and integration budget.
CompareUse Basler camera reference demand to guide area scan, line scan, interface, resolution and lens decisions.
CompareSelect machine vision lighting by part surface, defect type, contrast method and mechanical installation constraints.
ComparePlan a 3D vision route for height, profile, weld, gap and geometry inspection before choosing a sensor family.
CompareReview Hikrobot-style camera, lens, lighting and barcode requirements against a factory-direct component route.
CompareCompare Omron-style inspection system requirements with modular cameras, optics, lighting and smart camera routes.
CompareTranslate Teledyne DALSA-style area scan and line scan requirements into practical machine vision camera choices.
CompareCompare FLIR-style industrial camera needs with Deyi Vision camera, lens and lighting selection constraints.
CompareUse Allied Vision camera references to frame sensor size, interface, frame rate and machine vision application needs.
CompareMap IDS Imaging-style camera searches to inspection goals, optics, lighting and factory-direct RFQ inputs.
CompareReview Baumer-style vision camera requirements before selecting resolution, interface, lens and lighting route.
CompareTurn a distributor shortlist into camera, lens, lighting and interface requirements a factory can quote against directly.
CompareUse Stemmer-style component sourcing requirements to plan cameras, lenses, lights and integration-ready RFQ details.
CompareMap Balluff-style vision sensor needs to factory-direct smart camera, lighting and camera component choices.
Product RFQ
Send working distance, target size, speed, defect type, competitor model or sample images before locking a part number.
Request engineering RFQProduct FAQ
Start with the inspection goal, field of view, working distance, line speed and target tolerance. Then match industrial 2d cameras with lens, lighting, mounting and I/O requirements instead of choosing by part number alone.
Send good and bad sample images, target feature size, field of view, working distance, speed, trigger method, interface requirement and any current reference model. That lets engineering confirm whether industrial 2d camera is the right route or whether another product family is safer.
Avoid catalog-only selection when the part is reflective, moving quickly, tolerance-sensitive, space-limited or already failing under manual inspection. In those cases, lighting, lens, fixture and software behavior often matter as much as the component specification.
Send part photos or drawings, target defect or measurement goal, field of view, working distance, line speed, accuracy target, lighting limits and any current camera, lens, light, barcode reader or competitor model.
Use 2D when contrast, edges, labels or position are enough to judge the part. Use 3D when height, profile, gap, volume, weld shape or surface geometry decides pass or fail.
Start from the defect and material surface instead of the camera model. Backlight helps edge measurement, coaxial and dome lighting help reflective surfaces, and bar or ring lighting often works for general presence and defect checks.