Trust center

Deyi Vision publishes 8 anonymized delivery routes and 4 verification layers.

Buyers can verify the company entity, review application evidence, define measurable acceptance checks and request NDA-safe delivery documents before locking a machine vision route.

Deyi Vision machine vision evidence desk with camera, lens, sample parts and blurred RFQ notes
anonymized delivery routes

8

Each route links the inspection problem to hardware stack, acceptance checks and RFQ evidence.

verification layers

4

Factory identity, sample proof, measurable acceptance and delivery documentation are separated.

product families

11

Cameras, lenses, lights, readers, 3D vision, measuring systems and flexible feeding routes are cross-linked.

selection brief target

24h

Complete RFQs can be converted into a first engineering route before formal quotation.

Acceptance matrix

Agree measurable gates before a machine vision route becomes an order.

A high-trust quote should say what was checked, what remains open and which evidence supports the recommendation. These gates help buyers separate engineering proof from a catalog-only quote.

Send samples for review
Optical route confidence

Camera, lens and lighting route explained against sample surface, FOV, working distance and contrast risk.

Sample-image notes, route comparison photo, open constraints and rejected alternatives.

Repeatability target

Good, bad and edge-case sample checks repeated before the model route is locked.

Acceptance matrix with target feature, tolerance, sample count and expected pass/fail decision.

False-pass and no-read risk

Known failure modes documented for defect inspection, barcode reading, 3D height or presence checks.

Worst-case sample photos, risk boundary notes and the condition that still needs onsite validation.

Cycle-time and integration readiness

Line speed, trigger method, output signal and mounting envelope checked before delivery handoff.

I/O notes, controller route, cable/accessory list and integration handoff summary.

RFQ proof pack

Documents buyers can ask for before internal approval.

  • RFQ intake summary with part, defect, FOV, working distance, line speed and interface requirements.
  • Sample-image review notes showing good parts, bad parts and edge-case constraints.
  • Hardware route table covering camera, lens, lighting, reader, 3D or flexible feeder candidates.
  • Acceptance matrix for repeatability, read rate, false-pass risk, timing and sample variation.
  • Packing, accessory and shipment checklist when the quote moves from route selection to delivery.
Engineering ownership

Which review roles should be clear in a serious engineering response.

  • Application route reviewer: Translates the buyer problem into inspection target, sample evidence, optical constraints and route options.
  • Optics and lighting reviewer: Checks whether contrast, working distance, lens choice and lighting geometry can support repeatable decisions.
  • Delivery evidence owner: Keeps RFQ notes, acceptance criteria, packing checks and handoff records aligned with the approved route.

Download examples

Redacted templates buyers can review before requesting project-specific proof.

These are example structures, not customer records. Project evidence is shared only after scope, privacy and NDA limits are clear.

Request project proof

Verification layers

Separate engineering proof from marketing claims.

Many inspection projects are NDA-protected. Buyers can still review sample notes, route assumptions, acceptance checks and delivery documents before order confirmation.

Request evidence review
2 public addresses

Factory identity proof

The site publishes legal company name, phone, email, office address and factory address so buyers can verify the supplier entity before RFQ.

Legal company nameOffice addressFactory addressDirect email and phone
4 RFQ inputs minimum

Sample and route proof

Engineering review starts from sample photos, defect target, field of view and line constraints before recommending a camera, light, lens or reader route.

Good and bad samplesTarget defect or codeFOV and working distanceLine speed or cycle time
3+ measurable checks

Acceptance proof

Every delivery route should state the measurable checks that make the quote safe: repeatability, read rate, false-pass risk, timing or calibration stability.

Repeatability targetFalse-pass checkRead-rate targetTiming or throughput check
NDA-safe files

Delivery documentation proof

For protected projects, buyers can request anonymized sample images, test notes, packing photos and integration notes instead of public customer names.

Sample image setOptical test notePacking or shipment photoIntegration handoff note

Evidence photos

Trust visuals should show useful engineering evidence, not generic certificates.

These photos support the evidence chain: sample review, optical testing, acceptance checks, packing verification and integration handoff. Screens and papers stay unreadable for privacy.

Ask for NDA-safe proof
Deyi Vision sample image review bench with good and bad parts under a machine vision camera
Delivery evidence

Sample image review

Good, bad and edge-case parts prepared before locking camera, lens and lighting routes.

Deyi Vision optical route comparison bench with lights, parts and industrial camera
Delivery evidence

Optical test comparison

Lighting and optics compared before model recommendation to reduce mismatch risk.

Deyi Vision acceptance test matrix with parts, caliper and blurred inspection screen
Delivery evidence

Acceptance matrix

Repeatability, false-pass risk, timing and sample variation checks grouped for approval.

Deyi Vision packing and shipment check with protected camera components and cables
Delivery evidence

Packing check

Packing, shipment and accessory checks support the final delivery evidence chain.

Deyi Vision integration handoff bench with camera, IO module, cables and blurred notes
Delivery evidence

Integration handoff

I/O, trigger, controller and integration notes prepared before handoff to the buyer team.

Public identity

Factory entity details buyers can check immediately.

  • Company: Foshan Deyi Intelligent Technology Co., Ltd.
  • Phone: +86 139 2616 0933
  • Email: sales [at] deyivision.com
  • Factory: 5/F, Building 13, Area A, Guangdong New Light Source Industrial Base, Luocun, Shishan Town, Nanhai District, Foshan, Guangdong, China
NDA-safe delivery proof

Evidence to request when a named customer cannot be disclosed.

  • Anonymous sample image set with good, bad and edge-case parts.
  • Optical route notes showing camera, lens and lighting decision logic.
  • Acceptance checklist for repeatability, read rate, false-pass risk or timing.
  • Packing, shipment or integration handoff notes when privacy scope allows it.

Delivery routes

Eight anonymized case routes with measurable evidence requirements.

Open case studies
PCB connector pin presence inspection station with industrial camera and lighting
NDA-safe anonymous delivery profile

PCB Connector Pin Presence Inspection

Best used when a buyer needs proof that small metal pins remain visible after fixture, height and reflection changes.

20+ good and bad connector samples before threshold lock0 false-pass target on missing-pin golden samples
Automotive metal surface defect inspection station with camera and bar lighting
NDA-safe anonymous delivery profile

Automotive Metal Surface Defect Inspection

Best used when the metal finish changes from batch to batch and the lighting route must be proven before quoting.

3 lighting geometries compared before model selectionWorst-case defect samples photographed at line speed
Packaging label and barcode traceability inspection on conveyor line
NDA-safe anonymous delivery profile

Packaging Label and Barcode Traceability

Best used when shipping errors, no-read events or wrong-label risk must be reduced without slowing the conveyor.

99.5%+ buyer-requested read-rate target before line acceptanceWorst-angle label samples included in test set
Direct part mark code reading review for metal parts with camera and lighting
NDA-safe anonymous delivery profile

Direct Part Mark Code Reading on Metal Parts

Best used when code contrast depends on mark depth, machining texture or reflective metal surface behavior.

Worst-case DPM marks included in read-rate test3 surface-finish variations reviewed before settings freeze
Battery tab weld height inspection station with industrial vision hardware
NDA-safe anonymous delivery profile

Battery Tab Weld Height Inspection

Best used when 2D contrast cannot prove weld geometry and a measurable height or profile route is required.

Height or profile repeatability target defined before quoteReflective weld samples tested for missing profile data
Roll-to-roll web defect inspection line with line scan camera
NDA-safe anonymous delivery profile

Roll-to-Roll Web Defect Inspection

Best used when the inspection must cover moving film, paper, textile or sheet material without motion distortion.

Full material width mapped before sensor selectionSmallest defect target converted into pixel requirement
Stamped part instant measurement setup with camera and backlight stage
NDA-safe anonymous delivery profile

Stamped Part Instant Measurement

Best used when manual gauges are too slow or inconsistent for small stamped, machined or molded parts.

Tolerance table confirmed before feature setupRepeatability checked across operator placement variation
Robot guidance pick and place positioning cell with camera and ring lighting
NDA-safe anonymous delivery profile

Robot Guidance Pick and Place Positioning

Best used when part position, height or overlap changes the robot pickup result and calibration must remain maintainable.

Pickup coordinate tolerance confirmed before route selectionPart-presentation variation tested across sample set

Evidence workflow

How to move from trust check to delivery-ready quote.

Use RFQ tools
01

Factory identity proof

The site publishes legal company name, phone, email, office address and factory address so buyers can verify the supplier entity before RFQ.

02

Sample and route proof

Engineering review starts from sample photos, defect target, field of view and line constraints before recommending a camera, light, lens or reader route.

03

Acceptance proof

Every delivery route should state the measurable checks that make the quote safe: repeatability, read rate, false-pass risk, timing or calibration stability.

04

Delivery documentation proof

For protected projects, buyers can request anonymized sample images, test notes, packing photos and integration notes instead of public customer names.

Trust FAQ

How buyers should read Deyi Vision delivery evidence.

Ask engineering
Are Deyi Vision case studies named customer references?

No. Public pages use anonymized delivery evidence routes because many machine vision projects are protected by NDA. The pages still show project type, hardware stack, RFQ evidence and measurable acceptance checks.

What evidence can buyers ask for before placing an order?

Buyers can request sample image review notes, optical route comparison, model recommendation logic, packing or shipment photos, and integration handoff notes when the project and privacy scope allow it.

Why does Deyi Vision separate application briefs from trust evidence?

Application pages explain the inspection route. The trust center explains how to verify Deyi Vision, what measurable checks should be used, and which delivery documents can support a quote.

What should be included in a high-confidence RFQ?

Send at least part photos or drawings, target defect or code, field of view, working distance, line speed, tolerance and the required output method. Flexible feeder RFQs should also include part size, weight and pickup behavior.

Evidence-based RFQ

Send samples and ask for the evidence package before final model selection.

The strongest RFQ includes sample images, defect criteria, line speed, tolerance, working distance, interface needs and the delivery documents you need for internal approval.

Request engineering RFQ
Contact

Direct RFQ contact

Talk to engineering about the inspection problem.

Send sample images, competitor model, FOV, working distance and line speed before model selection.

Target: selection brief within 24h
Send sample images