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Edge · Local AI

AI that stays on your LAN

Detections execute on the edge gateway next to your cameras. Continuous video stays inside the building; only the insights — and optional evidence clips — leave when you allow them.

Local AI inference dashboard showing on-premise detections for PPE queues and intrusion with LAN-only video badge

What is local AI processing?

Local AI processing means Slinai computer-vision and vision-language models run on the edge gateway inside your network. Camera streams are analysed on-site for footfall, queues, SOP/PPE, loss events, and intrusion. This reduces bandwidth, supports data-residency policies, and keeps operations working when WAN is unreliable.

On-site
model inference
Same packs
as cloud Video AI
Clip-only
optional egress
Capabilities

What Local AI processing delivers

Full detection packs

Footfall, queues, compliance, loss, and intrusion models available at the edge — aligned with Video AI product packs.

Agentic ask on-site

Ask natural-language questions against local footage without uploading the full archive to cloud.

Bandwidth thrift

Avoid continuous HD streaming to cloud — critical for stores on constrained 4G/broadband links.

Privacy by architecture

Primary pixels never leave the LAN in local-only mode — simplifies DPDP and internal security reviews.

Instant local alerting

WhatsApp/SMS gateways can fire from the edge so latency is not gated on cloud round-trips.

Model update channel

Signed model packs deliver over controlled update windows — IT approves when updates apply.

Same intelligence, different path

Cloud-grade detections without cloud video pipes

Ops teams should not learn a second product because IT chose on-prem. Local AI uses the same detection semantics and alert schemas as cloud Video AI — so SOPs, WhatsApp templates, and dashboards stay consistent across hybrid fleets.

Manufacturing PPE, warehouse dock TAT, and retail queue packs all run at the gateway with site-tuned zones.

Shared
detection pack IDs
Zone-native
editor on LAN UI
Factory CCTV with PPE detection overlays processed by on-site edge AI
Cost of egress

Stop paying to stream every frame

Continuous multi-site HD uplink is expensive and fragile on Indian last-mile links. Local inference turns cameras into event sources — upload a 15-second clip when something matters, not 24 hours of silence.

Pair with Hybrid cloud sync to set daily MB caps and off-peak upload windows for evidence archives.

Bandwidth comparison chart continuous stream vs event clip upload from edge sites

See Local AI processing on your cameras

Tell us about your sites and we'll show what Slinai surfaces on the CCTV you already own.

FAQ

Common questions

Are edge models identical to cloud?

Detection packs share the same product definitions. Hardware profile may limit concurrent streams; Slinai sizes gateways to your camera plan.

Can we mix edge AI and cloud AI by site?

Yes. Sensitive sites run local AI; others use cloud. Alert channels and roles remain unified.

Does agentic AI work offline?

Natural-language ask against locally indexed footage works on the gateway. Cloud-wide multi-site ask requires sync or cloud deployment.

How are models updated?

Signed packs via Slinai update channel; customers can require change windows and staging gateways.

Get started

Talk to us — or see it live

Tell us about your sites and goals, and we'll show you exactly what Slinai surfaces on your existing cameras.

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30 min

Book a live demo

A focused 30-minute session, tailored to your operation.

  • Live walkthrough on footage like yours
  • Your top use-cases mapped to detections
  • Deployment plan for your cameras & sites
  • Indicative pricing and ROI estimate
Book a demo