Your camera sees.Our AI understands.The alert fires before the incident.

DetectVision analyzes your video feed in real time, object detection, missing PPE, intrusions in restricted zones, and sends an instant alert before the incident happens.

detection accuracy
99.2%
analysis latency
<50ms
active monitoring
24/7
IP-camera compatible
100%

Orders of magnitude the installation aims for; they are measured on your premises during the audit, on your volumes.

DetectVision, Offer illustration
DetectVision. Real-time computer vision and AI object detection
01What the agent does

Fully automated, nothing to manage.

01

Custom detection models

Fine-tuned on your specific data: products, PPE, quality defects, masked faces, precision above 97% from 500 training images.

02

Real-time API

RTSP/HLS streams or base64 images. Response in under 50ms. Python and Node SDKs available. On-premise or cloud deployment depending on your GDPR constraints.

03

Instant webhook alerts

Immediate notification on Slack, Teams, email or your SCADA as soon as an event is detected. Full history and exports for compliance audits.

02How it works

Live in days, not months.

  1. 01

    Connect your cameras

    All IP cameras supported via RTSP or HLS streams. Automatic network detection, setup in minutes without advanced network skills.

  2. 02

    Define your zones and rules

    Draw monitoring zones on the visual interface. Configure detected objects, alert thresholds and notification recipients.

  3. 03

    AI watches, you get alerted

    DetectVision analyzes every frame continuously. As soon as an event matches your rules, the alert fires in under a second on your configured channels.

03Under the hood

The pipeline behind this offer.

Document & VisionFrom raw document to data, 4 stages
Input
EmailScanUpload
Fan-out
Analysis
OCR / Documents
Vision-langageChampsTableaux
Vision / Objects
Détection d'objetsDéfautsEPI
Validation
Control
RèglesHumain
Write-back
ERP
SageOdooSAPDynamics
04Tools we operate

We plug the agent into the tools you already use.

  • Pytorch
  • Tensorflow
  • Opencv
  • Docker
  • Kubernetes

Nothing to learn: we configure and operate these connections for you.

Why now

Your cameras film everything. Nobody watches anything.

What it costs you today

Sunday 4:12am, inside your 12,000 square meter logistics warehouse. A forklift driver hits a poorly stacked pallet, the rack partially collapses across 15 meters. Nobody sees it live. Your 28 IP cameras filmed everything, as they have for three years, but their only role is to be watched after the fact, by the insurance expert, within 72 hours. Monday morning your HSE director will discover the incident, launch an internal inquiry, and gently explain that the forklift driver had already flagged that exact issue in the log six weeks ago. The camera filmed it. Nobody saw a thing.

The facts

France's INRS estimates 18% of serious workplace accidents could have been prevented by early behavioral detection, PPE compliance, restricted-zone intrusion, dangerous postures. McKinsey measured that computer vision in industry cuts safety incidents 30% to 50% depending on the sector, with an 8-month average ROI. Gartner predicts that by 2027, 60% of logistics warehouses over 5,000m2 will run real-time AI detection, custom object detection model maturity has made this affordable for industrial SMBs.

Why us

Wikolabs installs AI systems built on open-source models, on your premises, paid once. No black box: your data, your prompts and your history stay in your infrastructure. We quote at a fixed price or on time and materials, never per ticket or per token, and we say before you sign what works and what does not yet.

What we put in place

Concretely: you connect your existing IP cameras via RTSP or HLS, no hardware to replace. You draw monitoring zones and configure rules through the visual interface. A custom detection model fine-tuned on your specific data analyzes every frame in under 50ms and fires the alert to Slack, Teams or your SCADA as soon as an event matches. 99.2% accuracy, on-premise or cloud deployment to fit your GDPR constraints. The incident is caught before it becomes an accident.

Documents, Vision & Industry

Intelligent eyes on your production lines, warehouses and stores

Manual visual quality control is slow, subjective and expensive. A tired operator misses defects. Lighting variations confuse human perception. And at industrial rates of 100+ parts/minute, human control is physically impossible. Vision AI detects, classifies and alerts on visual anomalies in real time, at speeds and precisions impossible for the human eye.

The problem

The undetected defect rate in manual quality control is 5–15%. Product recalls cost millions. Manual warehouse inventory is 3–8% inaccurate. And without automated vision, the visual data from your operations stays unexploited.

Our answer

Industrial or IP cameras transmit images in real time to our vision pipeline. Object detection models detect and classify objects, defects or anomalies. Results are sent in real time (<100ms) to the control system or dashboard. False positives are filtered by a secondary validation model.

How we deploy

  1. 01
    Visual environment audit

    Analysis of your constraints (lighting, line speed, defect types, required resolution). Hardware selection if needed.

  2. 02
    Dataset assembly

    Image collection and annotation (defects, objects, SKUs). Minimum 500–2000 annotated images depending on task complexity.

  3. 03
    Training & validation

    Detection model training on your data. Real-world validation on your line or test environment.

  4. 04
    Deployment & integration

    Edge or cloud deployment. Integration with your SCADA, ERP or alert system. Continuous performance monitoring.

Concrete benefits

Detection rate > 99%

Vision AI models detect defects at precisions impossible for the human eye, even at high speed.

Quality cost reduced by 70%

Fewer human quality inspectors, fewer defects reaching production, fewer costly product recalls.

Exploitable visual data

Every inspection produces structured data: defect rates by line, by hour, by SKU. A continuous improvement tool.

Frequently asked questions

Does the solution work in real time on a fast production line?
Yes. With appropriate edge hardware (embedded GPU), detection is performed in under 50ms, compatible with 200+ parts/minute rates.
What types of defects can be detected?
Scratches, cracks, deformations, foreign bodies, missing parts, incorrect colors, unreadable barcodes, misapplied labels, etc.
Do we need to replace our existing cameras?
Not necessarily. We analyze compatibility of your existing IP or industrial cameras before recommending additional hardware.
Can the model improve over time?
Yes. An active learning pipeline feeds the model with newly detected cases. Precision increases continuously.

Your infrastructure under smart surveillance

Works with any IP camera. On-premise or cloud deployment. GDPR ready. First results in under a day.