The problem
You've got cameras, but no insight
Your CCTV/RTSP feeds record footage nobody's watching. We turn those existing cameras into live detection — PPE, restricted zones, people and vehicle tracking — no new hardware.
Computer Vision · MLOps · Industrial AI
Computer vision that works in production.
We build AI vision systems that turn live industrial camera feeds into action — safety monitoring, real-time video pipelines, automated inspection. Deployed on GPU servers, running on real cameras, every shift.
30-min call · no obligation · talk to the engineer, not a salesperson
- Systems deployed at an industrial AI lab
- Running on live RTSP cameras
- Real-time GPU inference
- YOLO
- RTSP
- Triton
- DeepStream
- TensorRT
- CUDA
- ONNX
- PyTorch
- OpenCV
- Multi-camera tracking
- GPU inference
- Docker
- Kafka
- Edge deployment
PROBLEMS
Does one of these sound like you?
Where computer vision actually earns its keep. Find your problem — then let's talk about it.
The problem
Manual inspection can't keep up
Spot-checking by eye misses defects and doesn't scale across a shift. We automate continuous inspection and measurement on the line — faults flagged before they become downtime.
The problem
It worked in the demo — then died on the floor
Dust, glare, bad light and occlusion break models that shine on a clean clip. We build and validate against real site conditions, then monitor drift so the system holds every shift.
The problem
You're not even sure vision is the right tool
Investing in the wrong solution is a real risk. We give you a candid feasibility answer first — sometimes we talk you out of it. No hard sell.
Recognize one of these? That's exactly what a first call is for — and if your problem isn't here, tell us about it.
Book a callSERVICES
What we build for you
Every engagement is scoped, time-bounded, and delivered as production-ready software — not a proof of concept that never ships.
SERVICE
Industrial safety & monitoring vision
Best fit: Sites with CCTV/RTSP cameras and manual safety checks
Catch PPE violations and restricted-zone intrusions as they happen — automated compliance, people- and vehicle-tracking, running on your existing CCTV/RTSP infrastructure. No new hardware.
- PPE
- restricted zones
- tracking
From initial scoping to a system running in production.Explore
SERVICE
Real-time video AI pipelines
Best fit: Teams whose multi-camera video needs real-time inference
Turn multi-camera video into real-time decisions — GPU-optimized inference (Triton, DeepStream, CUDA) and operational dashboards with alerting, delivered as containerized, deployable services.
- Triton
- DeepStream
- CUDA
- Docker
From initial scoping to a system running in production.Explore
SERVICE
Custom computer-vision systems
Best fit: A detection or measurement problem off-the-shelf models can't solve
When off-the-shelf models fall short, we build the one that works — detection, measurement, and anomaly-inspection models trained on your data, engineered to run reliably in production, not just in a notebook.
- detection
- measurement
- anomaly
From initial scoping to a system running in production.Explore
These three are the core of what we do — not the limit. If your problem is adjacent, we can likely build it. Book a call and describe it.
WORK
Systems we've built and deployed
Real computer-vision systems running on live industrial camera feeds, built at an industrial AI R&D lab.
Safety
PPE & danger-zone monitoring
- Challenge
- On a live industrial site, safety compliance depended on manual spot-checks that miss violations between rounds.
- What we built
- PPE and danger-zone detection on live RTSP feeds — per-person tracking and automated alerts, on a GPU inference server.
- Result
- Continuous monitoring on every camera, every shift — not only when a supervisor happens to be watching.
- PPE detection
- danger-zone
- tracking
- RTSP
- alerts
Built and deployed at an industrial AI lab · client anonymized
Related serviceIndustrial safety & monitoring vision
Measurement
Automated granulometry
- Challenge
- Rock sizing on a processing line relied on slow, inconsistent manual spot-sampling.
- What we built
- An overhead camera with calibrated detection that measures each fragment to millimetre accuracy.
- Result
- Automated, continuous granulometry that replaces manual sampling on the line.
- detection
- measurement
- calibration
- mm sizing
Built and deployed at an industrial AI lab · client anonymized
Related serviceCustom computer-vision systemsInspection
Conveyor-belt inspection
- Challenge
- Conveyor-belt faults were caught only after they had escalated into downtime.
- What we built
- Continuous anomaly detection on moving belts, surfacing faults on an operations dashboard.
- Result
- Defects flagged early — before they stop the line.
- anomaly detection
- dashboard
- continuous
Built and deployed at an industrial AI lab · client anonymized
Related serviceReal-time video AI pipelinesThe platform underneath
Streaming core
A streaming layer that ingests RTSP/HTTP camera feeds and runs interchangeable models, so new detection models deploy without rebuilding the pipeline.
PROCESS
How we deliver
Four stages, from an open question to a production system that holds every shift.
Scope & feasibility
We assess your cameras, operating environment, and the decision the system must automate — then give you a candid, evidence-based recommendation on whether computer vision is the right investment, before a single model is trained.
Prototype & validation
We deliver a working detector on your own footage, fast, then validate it against the real-world conditions that break naive models — low light, occlusion, weather, motion — not a curated test set.
Production deployment
We ship GPU-optimized inference, containerized in Docker and integrated with your live RTSP infrastructure — engineered to sustain full frame rates and to degrade safely when a camera drops.
Monitoring & support
Operational dashboards and alerting surface model drift before it becomes downtime. A modular architecture keeps models hot-swappable, so an improved version deploys without re-engineering the pipeline.
EXPERIENCE
Where we've built production systems
The systems above were engineered at an industrial AI R&D lab — client anonymized. Teams and institutions we've built with and learned from:
Let's talk
Have a camera feed and a problem worth solving? Book a 30-minute call — we'll tell you straight whether vision is the right tool.
- A look at your camera setup and the problem you're solving
- A straight answer on whether computer vision is the right tool
- No hard sell
Led by Zakariae Mrabet — 42 / 1337 alumni · Arm Ambassador · production vision systems shipped at an industrial AI lab.