CCTV analytics
Occupancy, queues, hot zones and alerts, with privacy by design and defined retention.
Computer vision
Models that see what matters
Detection, tracking, OCR and store analytics: models built on your real data, cloud or edge, tied to decisions that change when the model is right.
Deploy Cloud · edgeCases Retail · DOOH · CCTVEvaluation On real data
In short
Computer vision only pays when it answers a decision: how many people entered, which product is missing from the shelf, whether content reached the screen. We build and deploy models on your data, with accuracy and cost per inference reported.
Published cases: Peoplesnap processes selfies with live moderation; L'Oréal Guardians combined vision and GenAI for brand avatars.
What we deliver
Vision problems we solve
From corporate CCTV to the stadium screen: wherever there's a camera, there's a decision to improve.
Retail
Planograms, shelf availability and traffic heat maps in store.
DOOH & events
Interaction detection, live mosaics and moderation before anything hits a screen.
OCR & documents
Structured extraction from documents into your systems.
How we work
From pilot to production
Define the decision
Which metric changes when the model is right: that's where scope starts, not the demo.
Data
Collection, labeling and honest splits; no leakage, no inflated metrics.
Model
Architecture chosen by accuracy, latency and cost; cloud or edge deployment.
Operation
Drift monitoring, retraining and alerts — the model stays alive.
Scope and deliverables
What the project delivers
| Use cases | Retail, DOOH, CCTV, industry and documents. |
|---|---|
| Deployment | Cloud (API) or edge (on-device) by latency and compliance. |
| Metrics | Precision, recall, latency and cost, per class and condition. |
| Privacy | Data minimization, anonymization and defined retention. |
| Hardware | We integrate standard cameras and edge boxes; we don't manufacture. |
| Languages | Spanish, English and French. |
Proof in production
Vision in production
Read more
Peoplesnap
From smartphone to DOOH mosaic, without a single booth
Peoplesnap is Slash Experience's photobooth product: a white-label web app that turns each guest's phone into the activation. QR, selfie, AI editing (100+ parameters), social share, print and mosaics on event screens. Already live for Mouton Cadet, La French Tech Bordeaux, CEA Marcoule, Denver Pub Crawl, With Agency, We Love Beer and CES Las Vegas 2024.
Learn more →
Read more
L'Oréal · Guardians
From GenAI selfie to a 3D brand mosaic
Guardians program for L'Oréal: GenAI face-swap in Celebrate Consumer Care (pick a Guardian, selfie → brand avatar) and, as the centerpiece, a gigapixel Three.js mosaic where hundreds of avatars form the logo, navigable in 3D for demos and lobbies.
Learn more →
Frequently asked questions
The questions we hear often
Will it work with our current cameras?
Almost always; discovery evaluates streams, resolutions and network constraints.
Local or cloud?
Depends on compliance and latency; both routes are part of the proposal.
How do you guarantee accuracy?
Evaluation on real data with temporal splits, reported per class and condition.
Do you process video at the edge?
Yes, where latency or privacy requires it; cases are in production.
How long is a pilot?
Weeks; scope depends on the quality and volume of available data.
Related capabilities
Where to next
AI
Artificial intelligence
Applied AI for real operations: agents, RAG, vision, voice and automation.
Learn more→ DOOHDOOH & urban screens
The digital layer of street screens: live data, DOOH and interaction.
Learn more→ PhygitalInteractive experiences
Physical + digital: boothless photobooth, brand mosaics and WebGL moments.
Learn more→ AutoAutomation
Repetitive processes, out. Robust flows with traceability, in.
Learn more→
Talk to Slash
Let's put it in production
Tell us your challenge. We reply within 24 hours with an honest first read: if we can help, we'll say how; if not, we'll say who can.
I reply personally. No endless forms, no canned replies.