Autonomous solar powered sentinel shielding farmlands and forest perimeters. Real time local NPU classification fires immediate active deterrents with zero reliance on grid power or cloud connectivity.
Direct on-device classification executes within milliseconds. An independent solar-charged sentinel keeping farms safe.
PashuTham™ uses intelligent algorithms to adapt to changes in vegetation, background movement, and weather conditions.
A comprehensive, multi stage Edge AI security ecosystem engineered to detect, deter, and sync intrusion details completely offline.
PashuTham™ is a solar powered Edge AI security ecosystem. Backed by Startup India and PUSA Krishi, it operates as a localized digital defender, deploying computer vision algorithms directly in the field to automatically identify and humanely deter wildlife intrusion.
Farms adjacent to dense reserve forests lose up to half of their cash crop value to overnight raids by elephants, wild boar, leopards, and Nilgai.
PashuTham™ runs specialized computer vision on low power NPUs, scanning a 4,000 sq. meter perimeter and classifying targets within 1.5s.
Visual strobes and 110dB speaker alerts deploy random, non repetitive cycles to prevent species habituation.
Intrusion events log locally; when GSM is available, encrypted metadata and snapshots reach forest rangers and farmer associations.
Dhaani.ai speaks and understands 16 Indian regional languages for alerts, diagnostics, and crop guidance.
Weather hardened IP66 cabinets on reinforced steel masts survive monsoons, heat up to 50°C, and dust storms.
Validated in Haryana, Maharashtra forest zones, and Uttar Pradesh sugarcane belts as a reliable wildlife monitoring system.
Trace how a perimeter breach triggers immediate local defense and syncs data to the farmer.
The 5MP camera continuously scans and monitors remote agricultural sectors up to 40 meters.
The onboard AI processor running custom vision models identifies target species in under 50ms.
Visual strobes and 110dB speaker alerts deploy random, non repetitive alarm cycles.
Encryption log, species metadata, and camera snapshots upload locally to MeitY cloud over cellular.
App alerts prompt responses while Dhaani.ai provides voice diagnostics in 16 languages.
Industrial engineering designed for high survival and autonomous operation in rural farm corridors.
Beyond intrusion detection, PashuTham™ serves as an advanced crop management hub.
Continuous tracking of soil temperature and moisture to optimize watering schedules and prevent root disease.
Visual analysis of stem and fruit health, including early stage leaf disease detection.
Identifies localized pest outbreaks (like aphids) before they can spread across the farmland.
| Feature | PashuTham™ | Others |
|---|---|---|
| Area Covered | 100m radius (~4000 sq meters) | 100 to 500 sq meters |
| Wildlife Detection | AI powered detection on edge devices; customizable for specific wildlife like leopards | Basic motion detection or limited AI, often not tailored to specific animals |
| Notification System | Real time notifications via mobile app with precise location and timestamps | Delayed or manual alerts; often lacks real time capabilities |
| Power Source | Solar powered, ensuring uninterrupted operation in remote areas | Mostly dependent on grid power or batteries, requiring frequent maintenance |
| Edge Computing | All processing done locally, ensuring minimal latency and no cloud dependency | Cloud dependent, causing delays and requiring stable internet |
| Regional Chatbot | Multilingual (16 Indian regional languages supported) voice chatbot for end user assistance | No end user support or local language support |
Rigorous field testing across multiple locations demonstrates the reliability and impact of our Edge AI system.
Deployed in boundary crop zones prone to leopard and wild boar incursions. Zero hardware failures recorded.
Trialed against Nilgai herds and monkeys. The randomized hooter configurations successfully prevented habituation.
Farmers reported a significant drop in nightly crop damage and avoided dangerous face-to-face wildlife encounters.
Tested in heavy rainfall environments against elephant herd intrusions. System sustained 100% operational uptime.
Successfully detected wild tigers and boars, sending critical real-time GSM coordinates to local forest range staff.
PashuTham™ has been thoroughly researched, incubated, and supported by leading organizations to address wildlife agricultural conflicts in Indian farmlands.
Incubated by IARI, supporting agri tech translation in field setups.
Scientific incubator backing computer vision optimization algorithms.
Financially backed under the Startup India Seed Fund Scheme.
Successfully tested in crop intrusion corridors of Haryana.
Download the complete PashuTham™ document containing sensor specifications, solar charging models, species classification statistics, and Dhaani.ai conversational configuration.
Find technical answers about deployment, latency, solar metrics, and camera configuration.