Developed by CIM Atlantique

The industrial vision software that brings together every AI tool.

Deeper brings together in a single platform the best artificial-intelligence and vision algorithms — anomaly detection, OCR, measurement, counting, vision-language models — and assembles them without a single line of code.

+80processing blocks
0lines of code
+12 yearsof AI vision
Deeper interface in simulation mode: anomaly detection on parts, with a score per part
Anomaly detection
score and heat map per part
New generation

Deeper succeeds Deep Capture. The supervised deep learning proven on our customers' lines remains at the heart of the tool, now surrounded by a complete toolbox and a no-code editor.

Why Deeper

The right algorithm for every inspection.

No single algorithm can do everything. A surface defect, a dimension, a marking or a count each call for different tools: Deeper brings them together and lets you combine them.

01 — TOOLBOX

Every approach, in one place

Deep learning, anomaly detection, rule-based "classic" vision, OCR, polarization, VLM: you pick the technique that fits the defect, not the other way around.

02 — NO-CODE

An application is built, not coded

Each inspection is a visual pipeline: you connect blocks, test on your own images and tune the parameters live.

03 — INDUSTRIAL

Built for the production line

GPU computing to keep up with the line rate, multi-camera, a customizable operator screen and direct dialogue with the PLC.

The toolbox

More than 80 blocks, ten tool families.

From latest-generation AI models to proven vision tools, each block slots into a pipeline and combines with the others.

Anomaly detection

Learns what a good part looks like and flags any deviation, even a never-before-seen defect, with a score and a heat map.

anomalib · AnomalyDINO · RareCLIP

Detection & classification

Locates, classifies and sorts objects and defects in real time, including from a simple text description of the object you are looking for.

YOLO · YOLO-World · Grounding DINO

Segmentation

Precisely outlines each part or area to measure a surface, isolate a region or straighten a label.

SAM 2 · SAM 3 · FastSAM

OCR & codes

Reads back dates, batch numbers and markings, even irregular inkjet or slanted text. Reads barcodes, QR and Datamatrix codes.

PaddleOCR · OpenOCR · VLM OCR · codes

Measurement & geometry

Sub-pixel edge measurement, line and circle fitting, distances, angles, part alignment and pattern search.

caliper · fit · fixture · pattern match

Counting

Counts objects from a few examples or a description, including stacked products.

CountGD · GECO2 · LOCA · FamNet

Color

Checks the hue of an area against a reference and analyzes color distribution.

color check · histograms

Polarization & reprocessing

Removes reflections, reveals micro-defects and prepares the image: contrast, filters, straightening, cropping.

Stokes · anti-reflection · deskew · +20 filters
Deep Lighting →

VLM — vision by prompt

Vision-language models that read, describe and answer a question about the image. Ideal for getting an inspection started quickly.

OCR · detection · description · question/answer
Watch the video

Decision & communication

Thresholds, AND/OR logic, final OK/NOK verdict, then sending the result to the PLC or the information system.

OPC-UA · Modbus TCP · HTTP

The right tool, not a single tool. On one and the same part, Deeper can chain a straightening step, an anomaly detection, a batch-number read and a measurement, then return a single verdict to the machine.

The software

From image to verdict, everything happens in Deeper.

Six modules cover the full cycle of an inspection: describe the object with a prompt, run production, build the recipe without coding, organize and annotate images, train the models. Deeper connects to your industrial cameras and sends its verdict straight to the PLC.

The software, module by module

Hover over a tile to see it in action.The tiles animate as they appear on screen.

Deeper · Vision by prompt
Deeper detects every syringe in an image from the single word
deeper vlm color 1 VLM_PROMPT ✦ VLM promptDescribe the object to detect Prompt "syringe" · analyzing… ✓ Detected without training

01 Vision by prompt

Describe what you're looking for, without training a model

With vision-language models (VLM), you simply describe the object in a few words: "syringe", "cap", "label". Deeper detects and outlines every occurrence in the image, with no annotation or training. Ideal for starting an inspection in a few minutes or pre-annotating a dataset.

  • Text prompt
  • Zero training
  • Segmentation
Deeper · Operate
Deeper's Operate screen: triggering and result of an inspection
Count · 0 caps ✓ Result sent to the PLC

02 Operate

Run production and inspect in real time

The production screen. An acquisition is triggered, by the operator or the PLC, and Deeper runs the inspection: detections, verdict and processing time for each step appear immediately. Live mode on camera, or Simulation on recorded images.

  • Live / Simulation
  • Verdict
  • Cycle time
Deeper · Studio
Deeper's Studio: block-based pipeline editor
Image SourceCPU Image SourceCPU ✓ compiled · active

03 Studio

Build the inspection, without coding

You drag blocks from the palette (camera, preprocessing, AI, OCR, measurement, counting, decision, PLC), connect them, then compile and activate. Each recipe is saved as a reusable preset, and the Layouts tab composes the operator screen.

  • +80 blocks
  • Presets
  • Operator screens
Deeper · Data
Deeper's Data module: collections, datasets, snapshots and training runs
Raw image → annotated dataset → frozen version → trained model

04 Data

Organize and trace your images

Image collections, datasets, versioned snapshots and training runs: the whole chain can be read at a glance, from the raw image to the model, with the history of every change.

  • Collections
  • Versioned snapshots
  • Traceability
Deeper · Data · Datasets
Image annotation in Deeper with Smart click
Smart click obj · 0.96 31 annotation(s) ✓ Image validated, next image

05 Annotation

Annotate fast, with AI assistance

Oriented boxes, fill, Smart click: one click on the object and the assistant draws the annotation. It also finds similar images or pre-annotates with your own model, and tracks progress and the train / validation / test split.

  • Smart click
  • Oriented boxes
  • Pre-annotation
Deeper · Learning
Deeper's Learning module: hyperparameter tuning and training
256 50 n nsmlx ● #75 running epoch 0/100

06 Learning

Train your own models

You pick a dataset version, set the hyperparameters and launch training: YOLO (detection, oriented boxes, segmentation) or anomaly detection. Each run is logged, evaluated and comparable before going into production.

  • YOLO
  • Anomalies
  • mAP evaluation
Deeper's pipeline editor: polarization, segmentation, straightening and VLM nodes connected together
No-code programming

One inspection = one visual pipeline.

In Deeper's editor, you drag the blocks onto the canvas and connect them: camera, preprocessing, AI, measurement, decision, PLC output.

Readable by everyone. The pipeline shows exactly what the inspection does, step by step, with the intermediate images.
Adjustable in production. Thresholds, regions of interest and camera settings can be tuned without redeveloping the application.
Reusable. Each pipeline is saved as a preset: switch product reference in one click.
Scalable. A new defect, a new product reference? You add a block instead of starting over.
+12years
of expertise in AI vision and deep learning
< 0.1mm
defects detected on lacquered parts
120/min
bottles inspected across 8 cameras
80/min
cheeses inspected, multi-defect
From image to line

Six steps, one single platform.

Acquisition, training, fine-tuning and deployment all happen in the same software: no tools to stitch together, no data to move around.

01
Live · Browser

Acquire the images

Live from the line cameras, or remotely from a phone or tablet for the first trials. Images are organized into collections.

02
Dataset

Annotate

Defects and reference parts are annotated directly in the tool, with data augmentation to enrich the image sets.

03
Training · Models

Train

Models are trained online, runs are tracked and versions compared: the best model is promoted to production.

04
Pipeline

Assemble the inspection

The blocks are connected in the visual editor: preprocessing, models, measurements, decision rules.

05
Simulation

Validate on real images

The pipeline is replayed on the saved collections to tune thresholds and measure performance before going live.

06
Layouts · Deploy

Deploy

You compose the operator screen (video feed, results, permitted settings) and deploy to the line workstation, connected to the PLC.

What changes the game

Inspections that used to be out of reach.

Locating and counting loose syringes with a vision-language model in DeeperVLM · locating & counting

Start an inspection with no training campaign.

Vision-language models (VLM) connect what they see to words. Here, loose syringes: the model locates each syringe, even when overlapping others, and Deeper counts them, with no prior annotation campaign.

The VLM is not a magic wand: it is one more tool in the box. Depending on the inspection, Deeper combines it with trained models and measurement tools to reach the reliability expected in production.

LocatingCountingSmart OCRQuestion / answer
Watch the video: sorting croissants with a VLM
Learn more about VLMs

What a VLM can do in Deeper

  • Locate objects named by their name, and produce a mask per object.
  • Count loose parts, even when they overlap.
  • Read difficult text and markings: slanted, irregular, on a busy background.
  • Sort between several labels: pass / fail, reference A / reference B.
  • Answer a question about the image: presence of an element, condition of a product.

Two examples

Deeper interface: syringe-counting pipeline in simulation mode
Loose syringes. An 11-block pipeline: the VLM locates the syringes, Deeper refines and filters the masks, then counts the stacked parts.
Sorting croissants with a vision-language model
Croissant conformity. Two labels, "well rolled" and "poorly rolled", were enough to sort the products, without building a model. Watch the video →

When to use it

For a feasibility study or a first demonstrator in a few hours, when product references are numerous or change often, and when the object or criterion is easy to describe.

Its limits, and how Deeper makes up for them

A VLM is slower than a dedicated model and less precise on very subtle defects. For high line rates, Deeper switches to a trained model: the images already collected and sorted by the VLM serve as the training base. In every case, the final verdict goes through decision rules and thresholds that you control.

Test a VLM on my images
Polarization image in Deeper revealing a defect on a glossy surfacePolarization · reprocessing

Reflections are no longer an obstacle.

Glass, lacquer, plastic films, polished metal: glossy surfaces defeat most vision systems. With a polarized camera, Deeper computes the Stokes parameters, removes reflections and brings out dents, scratches and dust.

On lacquered pens, defects smaller than 0.1 mm become visible; on film-wrapped trays, OCR reads back dates and batch numbers printed through the film.

To go further on reflective surfaces, Deeper pairs with Deep Lighting, our dedicated lighting solution.

Anti-reflectionMicro-defectsOCR through film
Learn more about Deep Lighting
Specifications

Technical sheet.

Computing
Industrial PC with GPUHigh computing power to keep up with production line rates
Deployment
On-premise on a PC or as SaaS (web server)On-premise, the images stay on your site
Cameras
Baumer, Basler, SVS-Vistek…Area-scan and polarized cameras; exposure, gain and white balance set per preset
Multi-camera
Several cameras managed by a single installationUp to 8 cameras streaming on our glassware applications
Programming
No-code pipeline editorMore than 80 blocks, groups, reusable presets
Learning
Online annotation, training and versioning of modelsPromotion of the best model to production
Operator interface
Screens composable by drag-and-dropVideo feed, results table, reference selection, permitted settings
Communication
OPC-UA, Modbus TCP, HTTP requestsOK/NOK verdict, measurements and read text sent to the PLC or the IT system
Fine-tuning
Simulation mode on recorded imagesVisualization of every intermediate pipeline step
Remote acquisition
Image capture from a phone or tabletHandy for feasibility studies
Deeper in production

A very wide range of challenges.

Glassware, cosmetics, wood, food, packaging: a few applications in service at our customers' sites.

Glassware · perfume & spirits

Inspection of bottle bases

Incisions, seed bubbles and burn marks detected around the entire base rim, distinguishing real defects from mold seams.

8 cameras120 bottles/min~100 refs
See the case study
Cosmetics · lacquering

Micro-defects on lacquered pens

Image reprocessing removes reflections and highlights dents, dust, scratches and lacquer defects.

< 0.1 mmImage reprocessing
Watch the video
Wood · planer outfeed

Board inspection

Knots, cracks and missing material graded in real time, down to telling "spike" knots from standard knots.

95% of defects detected< 3% false positives
See the case study
Food · cheese

Bare cheeses

Foreign bodies, cracks, missing material, dimensional and rind defects, on products moving along the line.

80 cheeses/minMulti-defect
See the case study
Poultry · wing portions

Chicken drumettes & wings

Hemorrhages, bruises, exposed bones, shape defects: each piece classified without slowing the line.

~5,000 pieces/h93% of defects detected
See the case study
Deli meats · packaging

OCR on plastic films

Polarization to remove film reflections, then AI able to read back irregular inkjet printing and barcodes.

PolarizationOCR + barcode
See the case study
Reading engraved characters on a cylindrical part
Traceability · marking

Reading difficult markings

Engraved or printed characters on curved and glossy surfaces, read back character by character.

OCRCurved surfaces
Automatic counting of colonies in a Petri dish
Laboratory · counting

Automatic counting

Counting of items in an image, with no rule to program, from just a few examples.

Few-shot countingLocating
All our industrial vision videos · More details on our projects on the industrial vision page. Submit my case
One software, one integrator

Turnkey, or in your hands.

CIM Atlantique has been designing special machines, robotic cells and vision systems for more than 30 years. Deeper can be used in two ways.

Turnkey solution

We design and integrate your inspection.

Our engineers master the whole chain, from the feasibility study to on-site commissioning.

  • Feasibility study on your images and your parts
  • Selection of lighting, optics and camera
  • Development of the Deeper application
  • Mechanical, automation, ejection and robotic integration
  • Commissioning and performance monitoring
Request a study
License & training

Your teams take over.

For integrators, process-engineering departments and quality teams who want to build and evolve their inspections on their own.

  • License for the Deeper software
  • Remote onboarding training over 2 to 3 days
  • Training eligible for funding through your OPCO, via our Qualiopi-certified partner organization
  • Support from our engineers on your first applications
Request a callback
CIR-approvedResearch Tax Credit: your innovative vision projects may qualify.
FAQ

Frequently asked questions about Deeper.

A question that isn't here? Call us on +33 2 40 58 72 96.

Does Deeper replace Deep Capture?

Yes. Deeper is the next generation of our AI vision software. It builds on the experience gained with Deep Capture in supervised deep learning and broadens it: anomaly detection, measurement, OCR, counting, polarization, vision-language models, all programmable without code. Do you have a Deep Capture installation? Let's talk about upgrading it.

Do you need to be a vision or AI expert?

No. Inspections are built without code, by assembling blocks in a visual editor. Our engineers can deliver the application turnkey, or train your teams so they can evolve it themselves.

How many images do you need to get started?

It depends on the technique chosen. Anomaly detection learns mainly from good parts, which is valuable when defects are rare. Vision-language models sometimes make it possible to start with no specific training. For supervised models, we define the image campaign with you during the feasibility study.

Which cameras are compatible?

Deeper works in particular with Baumer, Basler and SVS-Vistek industrial cameras, including polarized ones. It can also receive images remotely (phone, tablet) for the fine-tuning phase.

Cloud or on-premise?

Both: on-premise on a PC equipped with a GPU, as close as possible to the line and without relying on the internet, or as SaaS on a web server.

How does Deeper communicate with my PLC?

The inspection result (OK/NOK verdict, measurements, read text) is sent to the PLC or the information system via OPC-UA, Modbus TCP or an HTTP request.

Can we test Deeper on our parts?

Yes. Send us a few images of your parts, both good and defective: we assess feasibility with Deeper and present the results to you, by video call or in our workshops in Grandchamps-des-Fontaines.

And your line?

A difficult inspection? Let's test it with Deeper.

Reflections, random defects, a wide variety of references: send us a few images and we'll tell you what Deeper can do.

Workshop3 rue Hermès, ZAC de la Belle Étoile
44119 Grandchamps-des-Fontaines

Request a demo

On your own parts, by video call or in our workshops.

Your images can be attached to our reply by email.