Does the system work without internet connectivity?

Yes. AiProff Edge AI systems are designed offline-first. All AI inference, detection, geo-fencing, alert generation, and local storage operate entirely without internet. The system runs indefinitely in offline mode and syncs data to the cloud dashboard when connectivity is restored.

What edge hardware does AiProff support?

Our systems are optimized for NVIDIA Jetson Nano, Jetson Orin Nano, Raspberry Pi 4/5, and ARM Cortex-based platforms. Custom embedded hardware configurations are available for specific deployment requirements.

Can the system run on solar power?

Yes. Both PashuTham™ and EDGEIn™ are designed for solar and battery-powered deployments. The edge inference pipeline is optimized for low power consumption (5–15W depending on hardware), making solar-powered 24/7 operation viable even in remote locations.

What is the detection accuracy in field conditions?

Field-validated detection accuracy is very high with a false positive rate below 3%. Geo-fenced detection zones and configurable confidence thresholds further reduce false alerts in real deployment conditions.

How quickly are alerts delivered after a detection event?

Alert delivery latency is under 2 seconds from the moment of detection. Alerts are delivered via mobile push notification and dashboard events.

Is video data sent to the cloud?

No. Video is processed entirely on the edge device. Only verified detection events, alert metadata, and telemetry are synced to the cloud dashboard, and only when connectivity is available. Raw video never leaves the site.

AiProff Edge AI surveillance, real-time perimeter monitoring with AI detection overlay

Live Edge AI Surveillance

AI-Powered Edge Surveillance for Farms, Factories & Remote Sites

Local inference. No cloud. No latency. Offline-first computer vision for farms, industrial sites, and remote infrastructure.

Explore EDGEIn™Explore PashuTham™Request a Demo

50 to 100 ms

Inference latency

100%

Offline operation

Solar

Powered deployments

Zero

Cloud dependency

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Incubated at

☁

Cloud AIPoor, fails without connectivity

Aspect	☁ Cloud AI	⚡ Edge AI (AiProff)
Connectivity Requirement	Requires stable internet uplink	Fully offline, no internet needed
Inference Location	Remote cloud servers	On-device, local inference
Alert Latency	2-10 seconds (network round-trip)	50 to 100 ms (local processing)
Power Consumption	High, continuous video upload	Low, optimized edge pipelines
Data Privacy	Video leaves the site	All data stays on-premise
Deployment Cost	Ongoing cloud subscription	One-time hardware deployment
Solar/Battery Viability	Not feasible	Designed for remote sites
Remote Site Suitability	Poor, fails without connectivity	Optimized for poor-connectivity environments

Offline-First Architecture

Systems continue operating and detecting threats even when the internet is completely unavailable.

Local Inference Engine

AI models run directly on edge hardware, no video leaves the site, no cloud latency.

Solar-Ready Deployment

Optimized power consumption enables solar and battery-powered deployments in the most remote locations.

Purpose-Built Edge AI Systems Catering to Different Industry Verticals

Each product is a dedicated Edge AI system engineered for a specific deployment environment.

EDGEIn™

Industrial Surveillance & Monitoring

Low-power Edge AI surveillance system built for industrial sites, warehouses, factories, and remote perimeters. Runs local computer vision inference with no cloud dependency, detecting intrusions in real time even in zero-connectivity environments. Contact our team to configure custom hardware optimized for your facility.

Use Cases

Automated road survey and railway track anomaly detection running on low-power edge hardware.
Offline-first security for industrial warehouses and campus automated monitoring perimeters.
Real-time on-device smart surveillance featuring a vehicle specifications identifier pipeline.

Explore EDGEIn™

PashuTham™

Agritech & Wildlife Monitoring

Solar-powered Edge AI system designed specifically for agricultural surveillance. Detects wildlife intrusions on farmlands using local inference, geo-fenced detection zones, and instant mobile alerts, no internet required. Contact us to get custom edge hardware tailored to your specific crop and region.

Use Cases

Detects elephants, wild boars, deer, and other wildlife approaching farmland perimeters at night.
Monitors farm boundaries across multiple geo-fenced zones with solar-powered edge devices.
Deploys in remote agricultural areas with zero internet connectivity using offline-first AI.

Explore PashuTham™

EdgeIN™ Platform

EdgeIN™ is an all-in-one edge AI system for 24/7 remote surveillance. Powered by NVIDIA Jetson, it is optimized for low-power, solar-powered, off-grid deployments. Reach out to get a custom hardware configuration delivered to your site.

Low Power

Runs optimized vision models on low-power Jetson hardware.

Solar Ready

Built-in smart power management for solar-battery setups.

4G/GSM Alerts

Delivers instant app and webhook alerts in under 2s.

Rugged Design

Operates reliably in harsh conditions (-20°C to 60°C).

PashuTham™ Platform

PashuTham™ uses offline-first edge AI to detect wildlife intrusions at farm perimeters, triggering instant localized audio-visual deterrents. Contact us to coordinate a custom-tuned hardware deployment for your farm.

Detection Accuracy,

Runs custom vision models for regional wildlife.

Power Autonomy,

Operates off-grid with zero utility dependencies.

Weather Defense,

Water proof and dust proof for outdoor installations.

PashuTham AI Intrusion Detection Device Setup

Built for Field Deployment, Not Lab Demos

Every component of the AiProff Edge AI stack is optimized for real-world constraints, low power, poor connectivity, harsh environments, and zero tolerance for missed detections.

Performance Benchmarks

Very High Detection Accuracy

Field-validated models

Low False Positive Rate

Geo-fenced filtering

Real-Time Inference

Local edge processing

50 to 100 ms

Real-Time Processing

Real-time video analytics

10 - 30

Edge Device Compatibility

NVIDIA Jetson Nano / Orin Nano · Raspberry Pi 4/5 · ARM Cortex platforms · Custom embedded hardware on request

System Stack

AI & Inference Runtime

YOLO-based detection, TensorRT-optimized, tailored for high-performance running on NVIDIA Jetson / ARM-based edge hardware.

Video & Detection Pipeline

Supporting high-resolution RTSP ingestion, hardware-accelerated decoding, geo-fenced zones, and configurable thresholds.

Alerts & Local Storage

Instant mobile push, webhooks, along with detailed on-device event clips, logs, and telemetry.

Power & Connectivity

Solar + battery compatible, meticulously engineered and built for offline-first operations.

Field Detections:
Real-World Edge AI

Actual footage processed entirely on-device by AiProff Edge AI systems. Zero cloud latency, zero connectivity dependency, catching intrusions in real-time.