Your cameras see everything.Your AI understands all.In under 300ms.

VisionCam plugs AI into your existing IP cameras. Intrusion detection, fire, license plate recognition, 99.7% accuracy, zero extra hardware.

detection accuracy
99.7%
false positives
−94%
response time
0.3s
extra hardware
0

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

VisionCam, Offer illustration
VisionCam. AI video surveillance: Real-time detection on existing cameras
01What the agent does

Fully automated, nothing to manage.

01

Plug & play on your cameras

RTSP and ONVIF compatible, works on all IP cameras. No hardware swap. Connected to your existing infrastructure in under 30 minutes.

02

Multi-scenario detection

One stream, dozens of use cases. Intrusion, fire, license plates, crowd density, analyzed simultaneously, no extra configuration.

03

Instant alerts

The moment an event is detected, your team gets a sub-second notification with video snapshot, timestamp and AI confidence score.

02How it works

Live in days, not months.

  1. 01

    Connect your video streams

    Drop your RTSP URL or enable ONVIF auto-discovery. VisionCam detects and imports your cameras in a few clicks, no downtime.

  2. 02

    Define zones and scenarios

    Draw your detection zones on the frame. Pick alert types: intrusion, fire, LPR, crowd. No code required.

  3. 03

    Continuous monitoring and alerts

    AI scans your feeds 24/7 and pushes alerts instantly via Slack, SMS, email or webhook. Central dashboard included.

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.

  • Opencv
  • Pytorch
  • GoogleCloud
  • Slack
  • Groq

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

Why now

Your cameras roll. Nobody watches.

What it costs you today

3:17 AM. On site C, a figure in a black hoodie skirts the north gate. Camera 12 catches him perfectly, as it has for four years. But the guard is staring at 84 simultaneous screens, the next desk is on break, and the physical alarm never tripped because the intruder touched no sensor. Tomorrow morning you find three pallets gone. You scrub back the video. The proof was there, intact, for seven hours. Nobody saw him walk in.

The facts

IHS Markit estimates that 70% of B2B surveillance footage is never watched in real time. A 2025 ASIS International report documents that CCTV operators lose 95% of their attention after 22 minutes in front of a video wall, a figure confirmed by cognitive psychology labs. Meanwhile, the AI-on-existing-IP video market is growing 28% per year: today, it is the software layer, not the camera, that defends the site.

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 give us your RTSP streams, we plug the AI in in under 30 minutes, you draw the sensitive zones. From there, every frame is analyzed in 0.3 seconds, intrusion / fire / LPR / crowd density run in parallel on the same feed, 99.7% accuracy, −94% false positives. When an event triggers, snapshot + timestamp + confidence score land in Slack in under a second. Your cameras already exist. VisionCam finally makes them useful.

IoT & Edge AI

Turn your surveillance cameras into intelligent control systems

Your IP cameras generate hours of video that nobody watches. A human operator can't effectively monitor more than 4 streams simultaneously. And incidents are detected after the fact, not in real time. Machine Vision on IP Cameras analyzes every frame in real time, detects relevant events (intrusion, non-conformity, counting, anomaly) and triggers instant alerts, directly from the camera or on an edge device.

The problem

Human surveillance is expensive, partial and reactive. Basic motion detection systems generate too many false positives. Commercial smart cameras are poorly customizable and expensive. And cloud processing of real-time video is latent and bandwidth-heavy.

Our answer

We deploy object detection models directly on an NVIDIA Jetson or Raspberry Pi connected to your IP cameras via RTSP. The model analyzes streams in real time, detects configured events (person, vehicle, product defect, missing PPE) and sends an alert with annotated capture in under 500ms. Processing stays local.

How we deploy

  1. 01
    Detection event definition

    Workshop to precisely define objects, behaviors or non-conformities to detect. Collection of video examples if available.

  2. 02
    Hardware selection & configuration

    Edge device selection based on processing load. Installation and configuration of RTSP stream connection from IP cameras.

  3. 03
    Model training & optimization

    Detection model fine-tuning on your specific scenarios. Optimization for target hardware (TensorRT, TFLite).

  4. 04
    Deployment & alert system

    Pipeline deployment, alert configuration (webhook, Slack, email, SMS) with annotated captures and timestamps.

Concrete benefits

24/7 surveillance without an operator

Every camera monitors permanently, without fatigue, without distraction. Important events no longer go unnoticed.

Alerts in < 500ms

Detection and alert are instant. An intrusion, product defect or safety incident is flagged before any escalation.

Automatic audit data

Every detected event is archived with annotated capture and timestamp. Automatic visual audit for compliance and traceability.

Frequently asked questions

Which IP camera brands are supported?
Any RTSP-compatible IP camera (Hikvision, Dahua, Axis, Bosch, and the vast majority of brands). We test compatibility upfront.
Can behaviors be detected (fall, fight, PPE)?
Yes. Pose estimation enables detection of behaviors like falls, missing PPE or intrusions into restricted areas.
Can local processing handle multiple cameras simultaneously?
An NVIDIA Jetson AGX can process 8–16 simultaneous streams depending on resolution and model complexity. A Jetson Nano handles 2–4 streams.
Is video data stored?
By default, only detected events are archived (captures + metadata). Continuous video storage is optional and configurable.

Your smart cameras live in 30 minutes

Demo on your own streams. Zero extra hardware. Zero commitment. Reply within 24h.