Skip to main content
360Vision.ai

Edge-firstVision engineering, AI models and line integration — one accountable partner

Visual inspection,
customised for your line.

We engineer the whole cell, optics, lighting, edge compute, PLC wiring and then prove the numbers on your parts before you spend any capital.

Imaging trials on your samples · Measured detection report · Costed BOM before capex

Isometric illustration of an inspection cell: an industrial camera and ring light on a gantry above an aluminium part on a roller conveyor, detection boxes marked on the part surface, cabled to an edge-compute cabinet.
  • We purchase the hardware

    Cameras, optics, lighting, enclosure, edge box – one invoice, one scope.

  • Estimated, not a guarantee

    Write down the precision and recall per defect class before rollout.

  • Runs offline

    Inference and rejection decisions still are made on the cell edge device.

  • You have the weights

    You get images, labels and trained models. To leave is contractual.

What really has to be working

Three sections.
We execute all three of them.

Three out of four factory AI pilots never go into production, and virtually none of them fail because the model was bad. They fail in one of three places.

  1. Isometric illustration: the same part shown twice — under flat overhead light the surface looks clean, under low-angle light a defect becomes visible and is marked with a red detection box.

    The vision cell

    We pick the camera, lens and illumination to make your defect physically visible — then build and mount the cell to survive your plant.

    Where pilots die: The fault was never in the picture. No model can recover what the sensor never saw but it will give a confident answer anyway.

    Area / line scan · telecentric & macro optics · dome, dark-field, backlight · IP65–IP69K

  2. Isometric illustration: an open industrial control cabinet with an edge-compute box and PLC mounted on DIN rail, status lights on, while the dashed link to the cloud above is broken.

    Edge inferencing

    Models trained on your parts are running alongside the machine. No cloud in the control path, deterministic latency, full function in a network outage.

    Where pilots die: It ran in a laptop, not on the line. A workstation demo tells you nothing about cycle time, panel space, heat or a WAN drop at 2 a.m. on B shift.

    NVIDIA Jetson · Intel OpenVINO · Hailo · industrial PC · air-gapped capable

  3. Isometric illustration: a pneumatic reject arm pushing a defective part off a roller conveyor into a reject bin, with an andon tower lit red behind it.

    Line play

    A verdict is no dashboard. Rejects drive a PLC output, diverter or andon within the cycle — and the record is input into your quality system.

    Where pilots die: The verdict went to a dashboard no one opened. If a reject has no in-cycle output, the system is just a screen saver.

    Digital I/O · OPC-UA · Profinet · Modbus TCP · MQTT · MES / QMS write-back

Before you buy anything

Two kinds of problem.
Two kinds of camera.

Prior to making any purchases, there are two categories of issues. Two types of cameras. Some of what you want is already on your CCTV footage. The rest needs optics to be built around the defect. Cost and timeline are defined by what side a use case falls on.

Works with your existing CCTV

Software only. No new hardware needed. Live days.

  • PPE — helmet, vest, gloves, goggles, harness
  • Restricted area entry & perimeter breach
  • Man–machine proximity & near miss recording
  • unsafe acts, guards missing, blocked exits
  • Smoke, fire & spill detection
  • Housekeeping & Machine idle/run state

Requires industrial vision camera

Designed for sensors, optics, lighting and triggering. We design it, we supply it and we start it up.

  • Surface & cosmetic faults, less than a millimetre
  • Soldering joints, component polarity & placement
  • Weld integrity, porosity & burn-through
  • Dimensional & gap measurement to tolerances
  • On-line web and roll inspection at production speed
  • Fill level, seal integrity and print/OCR verification

Most plants require both. The feasibility study tells you which of your problems fall on which side — and what each one costs — before you spend anything on hardware.

What we deliver

Four skills.
One responsible partner.

Delivered as a single scope of work – so there is no one to point to when the queue stops.

System Verification

Cycle errors

  • Defect categories that suit your quality team
  • Models trained on your own parts, not a stock data set
  • Cell built, mounted and connected to your PLC
  • Commissioning, acceptance and operator training

Safety & Compliance Artificial Intelligence

Existing CCTV camera on your

  • Restricted zone & proximity monitoring PPE
  • Near-miss & unsafe acts capture evidence
  • Detection of smoke, fire & spill
  • Face blurring & safe deployment of works council

Line & Process Intelligence

The verdicts to root cause

  • Traceability to machine, cavity and shot of defects
  • Analysis of cycle time, downtime and idle state
  • Scrap rate rises before drift detection
  • First pass yield and OEE reporting

Enterprise Platform

Multi-plant, multi-line

  • Model registry, versioning and roll back
  • No-code rule & escalation builder
  • Plant, region & group dashboards
  • SSO, RBAC and Immutable Audit Trails

Applications & industries

Eleven verticals.
What is getting by you?

Choose your queue. Each one shows what is caught, where the money leaks out today, and the cell we would build for it.

Fabrication & weld inspection

Automotive

Both the weld pore and the missing clip leave the plant as a warranty claim. We catch them at the station that made them. In cycle, before the body moves on.

  • Weld bead, porosity, spatter & burn-through measurement
  • Panel gap, flush, dent & scratch measurement
  • Fastener, Clip and Assembly Sequence Verification

Cell12 MP area scan · blue low-angle + diffuse dome · IP65 · PLC-triggered on part-in-position

Where the money is

Today1 in 20

Sampled audit at the end of the line

With an inline cell100%

Every part, judged at the weld station

Pays back through: rework hours, warranty claims and final-audit line stops.

Your rupee figure is modelled from your own scrap, rework and warranty numbers during Assess & Feasibility.

Live · BIW Cell 3Shift B
Part IDInspection resultSeverity
BR-091Weld porosityCritical
BR-092Fully conformingNone
PN-238Panel gap out of tol.Level 2
PN-241Surface dentLevel 1
SA-118Missing clip (pos 4)Critical
SA-119Weld spatterLevel 1

Illustrative output. Detection performance is measured on your parts during feasibility.

01 / 11 · Automotive

Deployment architecture

Designed to keep going
when the network doesn’t.

Four layers, clean interfaces, no hidden cloud dependencies in the control plane.

01

Capture

Area scanLine scanTelecentric & macro opticsDome / dark-field / backlightStrobe & encoder syncExisting IP CCTV (RTSP / ONVIF)
02

Edge inference

NVIDIA JetsonIntel OpenVINOHailoIndustrial PC / GPUDeterministic latencyRuns fully offline
03

Platform

Model registry & versioningRule engineDefect & event storeDashboardsDrift monitoringOn-prem, private cloud or air-gapped
04

Your plant systems

Siemens SIMATICRockwell / Allen-BradleyMitsubishiOmron & DeltaOPC-UAProfinet / EtherNet-IPModbus TCPMQTTIgnitionFactoryTalkSAP QM/PMQMS & LIMS write-backAndon & hornsTeams / SlackSMS & email escalation

The reject decision never leaves layer 02. If the platform, the WAN or the cloud is unavailable, the cell keeps inspecting and keeps rejecting — it simply queues its records until the link returns.

How we deliver

Submit a single line of evidence
prior to funding the plant.

A decision gate at each step. You can leave at the end of any phase.

  1. Evaluate

    ≈ 1 week

    We walk the line with your quality and maintenance teams, define the classes of defects that matter, and baseline what poor quality costs you today.

    You receiveCost-of-quality baseline and prioritised use-case list
  2. Feasibility

    2–3 weeks

    Imaging experiments on your physical samples. We test camera, lens and lighting combinations until we can reliably see the defect, then train and measure a model for it.

    You receiveMeasured detection report, cell design, BOM & ROI model
  3. Pilot

    4–6 weeks

    One line, fully commissioned. Cell installed, PLC wired, operators trained. It sits next to your existing QA so you can compare the verdicts before trusting it.

    You receiveWorking cell, purchase-off to agreed acceptance criteria
  4. Phased rollout

    Staged

    The cell design is proven and replicated line by line, plant by plant on one platform. Line nine is a repeat build, not a new project.

    You receiveStandard cell spec & multi-plant deployment
  5. Run In progress

    Ongoing

    Drift monitoring, retraining when parts and tooling change, spares and SLA-backed support, or full transfer to your team, with the training to run it.

    You receiveManaged service under SLA or capability handover

Acceptance criteria for the pilot are written from the numbers measured in phase 2 — not from a sales promise.

Security, privacy & compliance

Answers your CISO and
works council will require.

Vision systems see people and proprietary product. Both ask questions that should be asked before, not after, procurement.

  • You Own It

    Images, labels and model weights stay yours

  • Air-Gapped

    Zero outbound connectivity option

  • Worker Privacy

    Anonymised inference, on-device face blurring

  • Audit-Ready

    Immutable log of every verdict and change

  • Change Control

    Versioned models, one-click rollback

  • Enterprise Controls

    SSO, RBAC and network segmentation

Full security documentation, DPA and works-council pack available on request — and we support your own pen-test and vendor review.

FAQ

The questions you'd
ask in the meeting.

Yes, for safety and compliance work — PPE, restricted zones, proximity, smoke and spills, and that can be deployed in days without new hardware. No, not generally for defect inspection. A CCTV camera is the wrong resolution, the wrong lens, uncontrolled ambient light and no synchronisation with the part passing by, so the defect is often not in the image at all. No model can retrieve information that the sensor has never seen. We’d rather tell you that up front than sell you a pilot that fails quietly.

Good question and one we’d rather answer than duck. We are early — so the engagement is structured so you never have to take a big step on faith. A feasibility is a small, fixed scope piece of work that results in a written report. This includes the defects that we were not able to detect. The pilot is one line with acceptance criteria you agree in advance and runs in parallel to your existing QA, not replacing it. You own the images, the labels, and the model weights throughout, and the cell hardware is standard industrial equipment that another integrator could support. When you’re wrong about your application, you learn within weeks for a small amount of money — not year two.

Yes, we do. We design the cell, source the cameras, optics, illumination, enclosure and edge hardware, build and commission it and hand over a working system all under one commercial scope. During feasibility you get an itemised bill of materials so you won’t be surprised at anything about the cost. If you’d prefer to buy the hardware yourself to our specification, we’re happy to support that too.

So that’s why the feasibility phase is so important. You send out physical samples over good parts and every failure mode. We run imaging trials until the defect is reliably visible, train a model, and report precision and recall measured per defect class on a held-out set — not one headline percentage. If a defect class is not reliably detectable, that goes in the report as well. The acceptance criteria for the pilot are then written from those measured numbers and not from a sales promise.

How much depends almost entirely on the optics your defect needs — a presence/absence check and a sub-millimetre surface inspection are different orders of magnitude and you can’t honestly quote either from a website. But the commercial shape is consistent, with a one-time charge for the vision cell and commissioning, followed by an annual support-and-model-maintenance charge. At the end of feasibility, before any capital is committed, you will have an itemised bill of materials and full cost breakdown. Give us a call and on the first call we will give you a realistic range for your particular application.

For a stable, high-volume part, with well-defined geometric rules, a traditional rule-based system is often the right answer and we will say so. In cases of variable, cosmetic or hard to describe defects as a rule — stains, textures, weld appearance, organic shapes, mixed product — and where new variants would otherwise mean reprogramming every time, AI earns its place. We build both and the recommendation comes out of what is feasible rather than out of what we would prefer to sell.

New variants are done by collecting images and retraining, usually without touching the hardware if the part envelope is similar. Models are versioned, validated prior to release and rollback capabilities are built in. Under a managed service we look out for drift and we take care of retraining as part of the SLA. Under a capability transfer we train your engineers to do it, and you keep the tooling and the weights.

Yes. Both inference and reject decision are running on the edge device at the cell, so there is no dependency on the cloud in the control path. If the platform or WAN is unreachable the cell continues to inspect and reject, buffering its records locally and syncing when the link is restored. Full air-gap deployments supported.

Safety detection doesn’t have to identify anybody. Models operate on anonymised inference, on-device face blurring can be turned on before any frame is saved, retention periods are adjustable, and access to evidence clips is role-restricted and logged. We are happy to participate in that review directly with your HR and legal teams.

Annual support contract covering monitoring of model performance, retraining, platform updates, hardware spares and defined response times. Remote support and on-site attendance as required by the contract. Or we do a build-operate-transfer engagement, where we operate the system while your team learns and then we transfer ownership of the system, the models and the documentation.

Start here

Send us the component.
We will let you know if it is visible.

Send 30-50 samples of your good parts, your failure modes. We do imaging trials, train a model, and come back with what we measured, including the cases where the answer is no.

Measured detection reportCell design & costed BOMROI model, before capexNDA on request

Contact

Talk to a vision engineer.

Not a form that routes to a sales queue. Tell us the part, the defect and the line speed, and someone who has built these cells will come back — usually within two working days.

Email Address

support@360vision.ai

Contact Detail

+1 (213) 316-9787

Office Location

Coimbatore, Tamil Nadu, India
Tampa, Florida, USA

Send us samples

Ship 30–50 parts covering good units and each failure mode.
We'll send a shipping address and an NDA on request.