Product route

3D Vision Cameras

Structured-light 3D sensors and line-laser profile measurement routes for height, profile and surface geometry checks.

Pass/fail depends on height, gap, volume, profile, flatness or robot Z-positionDefine FOV, height range, Z repeatability, speed, surface reflectivity and mounting angleStructured light for area shape

Send model RFQ Compare models

Best-fit route

When to review 3d vision cameras.

The 3D Vision Cameras route fits height measurement, weld inspection, volume and shape checks projects. Define height resolution and field width early.

Key parameters

Confirm these before model selection.

Structured light, Line laser profile, Height / gap are only the starting point. Also confirm field of view, working distance, line speed, interface, trigger timing and mounting limits.

Evidence to prepare

Send evidence before asking for a part number.

Share sample images, good and bad parts, current reference model, target defect, tolerance, production speed and available fixture space.

When not to use this route

Use these limits before locking a model.

Do not lock a model before sample images, line speed and target tolerance are available.
Do not treat the component as a standalone purchase when lighting, optics, fixture or trigger constraints are still unknown.
Do not assume a reference brand or catalog model proves production-line acceptance.

What engineering should confirm first

Send route evidence before asking for a final part number.

Part photos or short line video
Good and bad sample examples
Target feature size or tolerance
Field of view and working distance
Line speed, trigger and interface needs

When this route is a good fit

Choose 3D vision when height or profile matters; Deyi reviews structured light and laser profiler routes across 5 geometry constraints.

Use RFQ checklist

Best-fit signals

Use this route when the project matches these constraints.

Use when: Pass/fail depends on height, gap, volume, profile, flatness or robot Z-position.
Core numbers: Define FOV, height range, Z repeatability, speed, surface reflectivity and mounting angle.
Route split: Structured light for area shape; laser profiler for moving profile and height sections.

Selection risks to check

Do not quote this route before these checks are clear.

Do not use 3D when stable 2D contrast already proves the decision at lower complexity.
Do not quote without height range and repeatability targets.
Do not ignore shiny, black or transparent surfaces because they can break 3D signal quality.

Swipe horizontally to compare buyer situation, inspection constraint, recommended route and what to send.

Buyer situation	Inspection constraint	Recommended route	What to send
3D camera review for height, gap, volume or robot guidance tasks	3D camera RFQ	3D camera route for height, gap, volume or robot guidance tasks.	Send FOV, height range, repeatability target, surface and motion condition.
Line-laser profile review for welds, gaps, edges and continuous profile checks	Laser-profiler route review	Line-laser profile route for welds, gaps, edges and continuous profile checks.	Confirm profile width, height range, speed and surface reflectivity.
Structured-light review for area 3D capture, robot positioning and surface geometry	Structured-light 3D review	Structured-light route for area 3D capture, robot positioning and surface geometry.	Provide capture area, depth range, ambient light and cycle time.
3D height inspection review when 2D contrast cannot prove weld geometry	Weld-height application review	3D height inspection route when 2D contrast cannot prove weld geometry.	Send weld samples, height tolerance, surface finish and production speed.

How buyers should compare this route

Build the product route around the inspection target, not the catalog model.

Open RFQ checklist

When this route is a good fit

Use 3d vision cameras when the inspection evidence matches the route.

3D Vision Cameras should be evaluated when the project is tied to height measurement, weld inspection, volume and shape checks. 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.

Height measurement
Weld inspection
Volume and shape checks

How buyers should compare this route

Compare constraints, not only specifications.

Use 3d vision 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.

Define height resolution and field width early.
Check surface reflectivity and motion conditions.
Choose 3D only when 2D contrast cannot solve the inspection.

What engineering should confirm first

Four checks before locking the 3d vision cameras route.

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.

Define the inspection target State the defect, code, edge, height, presence check or measurement result that must be accepted or rejected.
Lock optical and mechanical constraints Confirm field of view, working distance, mounting space, part motion, fixture stability and available light geometry.
Match the component route Review 3d vision cameras with related lenses, lighting, controllers, I/O and software rather than selecting one part number in isolation.
Validate with samples Use good parts, bad parts and edge-case samples to confirm contrast, repeatability, read rate or measurement stability before purchase.

Reviewed selection basis

Review model data, buyer constraints and acceptance risk before RFQ lock.

Manufacturer series3D vision camera series Selection basisBOMING / Phoskey 3D route Model routeDeyi-supported model route Buyer reference modelLMI / Keyence / Cognex

3D Vision Cameras engineering product view 1

3D Vision Cameras engineering product view 2

3D Vision Cameras engineering product view 3

3D Vision Cameras engineering product view 4

3D Vision Cameras engineering product view 5

3D Vision Cameras engineering product view 6

Model parameter matrix

Model-level parameters reviewed against manufacturer specs before RFQ lock.

Send model RFQ

3D laser profiler

DY-GL8020

Reference model reviewed: GL-8020

Manufacturer specs reviewed Official PDF Request this route

Reference distance: 20mm
Z measuring range: +/-2.3mm, F.S.=4.6mm
X width near: 9.6mm
Series: GL-8000 laser profile route
Route use: Small-field height and profile inspection

Short-distance high-detail route; confirm reflection and mounting before final selection.

3D laser profiler

DY-GL8060

Reference model reviewed: GL-8060

Manufacturer specs reviewed Official PDF Request this route

Reference distance: 62mm
Z measuring range: +/-11mm, F.S.=22mm
X width near: 29mm
Series: GL-8000 laser profile route
Route use: Profile, gap and weld-area inspection

Balanced distance and range route for medium-width production checks.

Dual-eye 3D laser profiler

DY-GL8160D

Reference model reviewed: GL-8160D

Manufacturer specs reviewed Official PDF Request this route

Reference distance: 160mm
Z measuring range: +/-41mm, F.S.=82mm
X width near: 73mm
Series: GL-8000 dual-eye route
Route use: Larger height range and occlusion-sensitive profile checks

Dual-eye route should be validated with real part height and shadow geometry.

Swipe horizontally to compare reviewed model parameters. Use the mobile cards above on small screens.

Parameter	3D laser profiler DY-GL8020 Reference model reviewed: GL-8020 Manufacturer specs reviewed Official PDF	3D laser profiler DY-GL8060 Reference model reviewed: GL-8060 Manufacturer specs reviewed Official PDF	Dual-eye 3D laser profiler DY-GL8160D Reference model reviewed: GL-8160D Manufacturer specs reviewed Official PDF
Reference distance	20mm	62mm	160mm
Z measuring range	+/-2.3mm, F.S.=4.6mm	+/-11mm, F.S.=22mm	+/-41mm, F.S.=82mm
X width near	9.6mm	29mm	73mm
Series	GL-8000 laser profile route	GL-8000 laser profile route	GL-8000 dual-eye route
Route use	Small-field height and profile inspection	Profile, gap and weld-area inspection	Larger height range and occlusion-sensitive profile checks
RFQ notes	Short-distance high-detail route; confirm reflection and mounting before final selection.	Balanced distance and range route for medium-width production checks.	Dual-eye route should be validated with real part height and shadow geometry.

Quote variables

What changes the route, cost and delivery review.

Application route: Height measurement, Weld inspection, Volume and shape checks
Hardware scope: Structured light, Line laser profile, Height / gap
Buyer reference model: LMI / Keyence / Cognex

Applications

Common use cases

Risk checks

Common reasons product selection goes wrong.

Choosing by resolution, catalog size or brand reference before defining the inspection target.
Ignoring lighting, lens, fixture or trigger limits that decide whether the component can repeat on the production line.
Requesting a quote without good/bad sample images, line speed, target tolerance or the current failure mode.

Evidence to prepare

Evidence that helps engineering reply faster.

Part photos or short line videoGood and bad sample examplesTarget feature size or toleranceField of view and working distanceLine speed, trigger and interface needsCurrent model, competitor reference or failure mode

Connect this product family to an inspection problem.

View all solutions

Solution

Robot Guidance

Vision routes for pickup, positioning, alignment and assembly verification.

Application case briefs

See how this product family appears in real inspection scenarios.

View all case briefs

Automotive parts inspection

Automotive Metal Surface Defect Inspection

Application route for scratches, burrs, dents and reflective metal surface checks using lighting-first machine vision selection.

Battery inspection

Battery Tab Weld Height Inspection

Application route for battery tab, weld and height checks where 2D contrast alone may not prove geometry.

Robot guidance

Robot Guidance Pick and Place Positioning

Application route for robot pick, positioning and assembly guidance using 2D or 3D vision based on part presentation.

Related buying guides

Use these guides to validate the product route before RFQ.

View all resources

Resource

2D vs 3D Machine Vision

Compare 2D and 3D inspection methods for defects, dimension, height, volume and surface geometry tasks.

Resource

Laser Profiler Selection Guide

Select laser profilers and 3D profile sensors by profile width, height range, Z resolution, speed, surface reflectivity, mounting angle and repeatability target.

Resource

Roll-to-Roll Film Defect Inspection with Line Scan Cameras

Plan roll-to-roll film defect inspection by web width, line scan camera route, line light uniformity, encoder timing, smallest defect and false reject control.

Resource

Area Scan Camera Explained

Understand area scan cameras for indexed parts, snapshots, robot guidance, defect inspection and measurement tasks.

Reference alternatives

Compare this product family against reference-model requirements.

View all comparisons

Compare

LMI 3D Vision Alternative

Plan a 3D vision route for height, profile, weld, gap and geometry inspection before choosing a sensor family.

Compare

Banner Vision Sensor Alternative

Compare Banner-style vision sensors with smart cameras, lighting and compact pass/fail inspection routes.

Compare

Cognex Camera Alternative

Compare Cognex-style machine vision camera requirements with inspection goals, lighting constraints and integration budget.

Compare

Hikrobot Machine Vision Alternative

Review Hikrobot-style camera, lens, lighting and barcode requirements against a factory-direct component route.

Product RFQ

Need help selecting 3d vision cameras?

Send working distance, target size, speed, defect type, competitor model or sample images before locking a part number.

Request engineering RFQ

Product FAQ

Common questions before selecting 3d vision cameras.

Ask engineering

How do I confirm whether 3d vision cameras fit my project?

Start with the inspection goal, field of view, working distance, line speed and target tolerance. Then match 3d vision cameras with lens, lighting, mounting and I/O requirements instead of choosing by part number alone.

What information improves 3d vision cameras selection accuracy?

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 3d vision camera is the right route or whether another product family is safer.

When should I avoid selecting 3d vision cameras by catalog specs only?

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.

What information should I send before requesting a machine vision quote?

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.

Do I need a 2D or 3D machine vision system?

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.

How should I choose machine vision lighting?

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.