Edge AI Solutions

Deploy powerful AI inference directly at the point of data collection — zero latency, no cloud dependency, and complete data sovereignty for your most demanding environments.

<50ms
Inference Latency
100%
Offline Capable
0
Video Data Leaves Site
10W
Min Power Draw
Edge AI Factory Automation UI

Why Edge AI? The Case for On-Premise Intelligence

Cloud-based AI is powerful, but it carries fundamental limitations that make it unsuitable for many real-world deployment scenarios. Sending live video streams to the cloud introduces latency — the round-trip processing time between camera and cloud server and back can range from hundreds of milliseconds to several seconds, making real-time threat detection impossible in critical safety applications.

Beyond latency, cloud AI creates a dependency on internet connectivity that is entirely unsuitable for rural farms, remote industrial sites, bandwidth-constrained facilities, and environments where data privacy regulations prohibit video leaving the site. And the recurring bandwidth and cloud processing costs for streaming multiple high-resolution camera feeds 24/7 are substantial — often eliminating the economics of AI deployment altogether for smaller operators.

CloudZigs Edge AI solves all of these problems simultaneously. Our CloudZigs Edge Box is a compact, ruggedised AI compute unit that runs all inference locally — on your premises, on your hardware, with no internet required. Video never leaves your network. Alerts fire in under 50 milliseconds. And the system keeps working even when your internet connection goes down.

Core Advantages of Edge AI Deployment

Zero-Latency Inference

All AI models execute locally on the Edge Box — detection, classification, and alert generation happen in under 50 milliseconds. This enables true real-time response for safety-critical applications where milliseconds matter.

Fully Offline Operation

The system operates completely independently of internet connectivity. Detection, alerting, and local recording continue uninterrupted even during extended internet outages — critical for remote farms, factories, and sites with unreliable connectivity.

Complete Data Sovereignty

Video streams are processed and stored entirely on-premise. No pixel of footage ever leaves your network. This enables compliance with GDPR, PDPB, hospital data regulations, and defence/government data sovereignty requirements.

Eliminates Cloud Bandwidth Costs

Processing 16 cameras of HD video in the cloud costs ₹25,000–₹80,000+ per month in bandwidth and compute. Edge AI eliminates this entirely — hardware is a one-time investment with no ongoing cloud fees for video processing.

Ruggedised for Harsh Environments

CloudZigs Edge Box is IP65-rated, operates from -20°C to 70°C, and withstands industrial vibration and dust environments. Suitable for poultry sheds, outdoor industrial sites, cold stores, and desert-climate deployments.

OTA Model Updates

AI models on all deployed Edge Boxes update automatically over-the-air when connectivity is available. Improvements to detection accuracy, new detection categories, and security patches deploy without any on-site visits.

CloudZigs Edge Box — Technical Specifications

Compute & AI Performance
AI AcceleratorNVIDIA Jetson / Hailo-8
AI PerformanceUp to 26 TOPS
Inference Latency<50ms per stream
Camera StreamsUp to 16 simultaneous
Models SupportedYOLO, ResNet, EfficientDet
Hardware & Connectivity
Storage512GB–4TB NVMe SSD
Network2× Gigabit Ethernet
Operating Temp-20°C to 70°C
Power Consumption10W – 75W (model dependent)
CertificationIP65, CE, FCC

Supported Edge Hardware

Beyond our own CloudZigs Edge Box, we support deployment on a wide range of existing edge compute hardware:

NVIDIA Jetson Series:
Jetson NanoJetson Orin NXJetson AGX OrinJetson Xavier NX
Compact Edge Platforms:
Raspberry Pi 5Coral Edge TPUHailo-8 M.2Intel NUCRockchip RK3588
Deployment Frameworks:
NVIDIA TensorRTONNX RuntimeOpenVINOTFLiteDeepStream SDK

Ideal Edge AI Deployment Scenarios

Remote Agricultural Sites

Poultry farms, dairy operations, and rural facilities with unreliable 4G/fibre connectivity — complete AI monitoring without any cloud dependency. Edge Box processes up to 8 shed cameras locally, syncing reports when connectivity is available.

Healthcare & Government Facilities

Hospital patient monitoring, sensitive government facility security, and defence perimeter monitoring where regulatory requirements prohibit any data leaving the network. Full AI capability with complete data sovereignty.

Industrial & Manufacturing Plants

Safety compliance monitoring on busy factory floors where sub-100ms alert latency is required to prevent accidents. Edge processing enables safety alerts to trigger protective shutdowns and warnings faster than any cloud solution could.

High-Volume Retail & Hospitality

Multi-camera retail stores and hotels that cannot afford the bandwidth costs of streaming 20+ HD cameras to cloud. Edge Box processes all analytics locally at a fraction of the monthly cost of equivalent cloud processing.

Frequently Asked Questions

How many cameras can a single Edge Box handle?
This depends on the Edge Box configuration and the complexity of AI models running. Entry-level CloudZigs Edge Box units handle 4–6 simultaneous camera streams with real-time inference. Mid-range configurations support 8–12 streams. For high-density deployments with 16+ cameras, we recommend enterprise Edge Box clusters or NVIDIA Jetson AGX Orin-based units. We help you size the right hardware during pre-sales assessment.
What happens to detections and alerts when the internet is down?
All detections are stored locally on the Edge Box SSD with full timestamped metadata and annotated video clips. Local alerts continue to fire via on-site speakers, indicator lights, or a locally-hosted alert dashboard accessible on your LAN. When internet connectivity is restored, all events sync automatically to the cloud dashboard for management review.
How are AI models updated on edge devices?
Model updates are delivered via our secure OTA (over-the-air) update system whenever the Edge Box has internet connectivity. Updates are cryptographically signed, verified before installation, and can be scheduled for off-peak hours to avoid any service interruption. Our average model update cadence is monthly, with critical security patches delivered within 48 hours.
Can Edge AI and Cloud AI be used together in a hybrid setup?
Yes, and this is our recommended architecture for many enterprise clients. Edge Boxes handle all real-time inference and alerting locally with zero latency. Summary events, analytics, and non-sensitive metadata sync to the cloud for multi-site management dashboards, long-term trend analysis, and management reporting — giving you the best of both worlds.
What is the warranty and support for CloudZigs Edge Box hardware?
CloudZigs Edge Box units come with a standard 2-year hardware warranty covering manufacturing defects. Extended warranty packages of up to 5 years are available. Software support including model updates and platform maintenance is covered under a separate annual software subscription. Remote hardware diagnostics are included, with on-site replacement units dispatched within 48 hours for most locations in India.

Get an Edge AI Assessment

Our engineers will assess your site and recommend the right edge hardware and AI configuration for your use case.

Book a Free Assessment
Call us directly
+91-9894218854

Edge Box Features

  • <50ms inference latency
  • 100% offline operation
  • Up to 16 camera streams
  • No video data leaves site
  • OTA model updates
  • IP65 ruggedised housing
  • -20°C to 70°C operation
  • 2-year hardware warranty

Bring AI Intelligence On-Site, Not in the Cloud

CloudZigs Edge AI gives you the full power of deep learning — with zero latency, offline resilience, and complete data sovereignty. Get your site assessment today.