Turn every camera into an operations sensor
Layer computer vision on your current IP cameras and NVRs — no rip-and-replace. Detect footfall, queue build-ups, PPE gaps, and suspicious behaviour; route verified alerts to store managers on WhatsApp in Hindi or English.
What is Slinai Video AI?
Slinai Video AI is a detection and agentic intelligence layer that runs on your existing CCTV streams. It counts visitors, maps movement, monitors SOP and PPE compliance, flags queue breaches, and surfaces loss incidents — then pushes clip-backed alerts to WhatsApp, Slack, or email so teams act in minutes, not after the weekly report.
Explore Video AI for operations and security
Each module runs on the cameras you already own — start with one, add others as you scale.
Video AI overview
Add a 90-second demo: zone setup → live detection → WhatsApp alert with clip.
What Video AI for operations and security delivers
Footfall & conversion signals
Count entries, dwell zones, and pathing proxies — benchmark stores without manual tally sheets.
Queue & wait-time alerts
Detect checkout or service-desk build-ups and notify floor staff before customers walk out.
SOP & PPE monitoring
Verify hairnets, gloves, uniforms, and hygiene steps in kitchens, plants, and warehouses.
Shrink & incident detection
Flag suspicious dwell, after-hours motion, and anomaly patterns with timestamped clip evidence.
Agentic camera assistant
Ask questions in plain language — 'How busy was billing between 6 and 8 PM?' — and get answers from live video data.
WhatsApp-first alerting
Verified events land on the phones managers already check, with optional Hindi summaries and one-tap clip view.
From connect to insight
Connect existing streams
Ingest RTSP/ONVIF from Hikvision, CP Plus, Dahua, or mixed-vendor NVRs — same pipes as Cloud VMS.
Calibrate zones & models
Draw entry lines, queue lanes, kitchen stations, and safety zones; tune sensitivity per site format.
Set alert rules
Define thresholds, quiet hours, escalation paths, and who receives WhatsApp vs email notifications.
Measure & refine
Review detection accuracy weekly; roll winning configs across similar stores, hubs, or campuses.
Analytics on the CCTV you already paid for
Most retail chains, QSR networks, warehouses, and campuses in India run cameras from multiple vendors and eras. Slinai normalises those feeds into one detection layer — so HQ compares footfall in Mumbai with Bengaluru without standardising hardware first.
Alerts meet teams where they work: WhatsApp groups for store managers, email for compliance, API webhooks for your ops stack. Summaries can be delivered in English or Hindi; video evidence stays access-controlled under DPDP-aligned retention policies.
Verified alerts, not alert fatigue
Raw motion alerts flood NVRs and erode trust. Slinai combines zone logic, business-hours filters, and optional human verification so only actionable events reach WhatsApp — queue over threshold, PPE missing at a critical station, or after-hours activity in a stockroom.
Each alert carries a short clip, timestamp, site name, and deep link to full playback for investigations or training callbacks.
Explore further
Industries served, use case playbooks, and platform modules that connect with Video AI for operations and security.
Where teams use this
Outcome playbooks
Works best with
See Video AI for operations and security on your cameras
Tell us about your sites and we'll show what Slinai surfaces on the CCTV you already own.
Common questions
Do I need new cameras for Video AI?
No. Slinai runs on existing IP cameras and NVR streams via RTSP/ONVIF. Image quality and camera angle affect accuracy — we survey during onboarding.
Can alerts go to WhatsApp?
Yes. Verified events can route to WhatsApp groups or numbers with clip links. Hindi and English message templates are supported.
Is Video AI DPDP-compliant?
Slinai is designed with DPDP principles: role-based access, configurable retention, audit logs, and India-region hosting options. See Security & privacy for deployment details.
How is accuracy maintained across sites?
Each site is zone-calibrated during go-live. Similar formats reuse templates; central teams review false-positive rates and push tuning updates without revisiting hardware.
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.
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
Or reach us directly