Compare“Herewin 12S 16000mAh Lipo Battery” has been added to the compare list
“Herewin 12S 16000mAh Lipo Battery” was added to the compare list
Compare“SVMFG HYBEC CSB50A” has been added to the compare list
Compare“Tattu 22000mAh LIHV 6S 25C Li-Po Battery Pack” has been added to the compare list
“Tattu 22000mAh LIHV 6S 25C Li-Po Battery Pack” was added to the compare list
Sigma 25G Multi-Payload, Type-Certified Drone 395,000.00 2,316,000.00Price range: ₹395,000.00 through ₹2,316,000.00 excl. GST
Description

Sigma 25GType-Certified Drone

The Sigma 25G is a high-performance, Type-Certified Drone. It perfectly combines portability with powerful performance. This small-category drone weighs under 2.8?kg total. It is officially qualified as a Survey Grade Drone by the Survey of India. The Sigma 25G achieves survey-grade accuracy with RTK/PPK capability. This makes it an ideal tool for professional mapping. It is built to deliver precision and reliability. The drone also supports many versatile payloads.

Specifications:
Aircraft

Flight Time Up to 40 Min
Cruise Speed 12 m/s
Wind Tolerance Up to 10 m/s
Category Small
All Up Weight < 2.5 kg

 

Battery & GCS

Type Li-ion Battery
Capacity 12600 mAh
Frequency 2.4 GHz
Communication Range 4 km
Controller Handheld

 

Add on Softwares

Project Management Incharge
Data Visualization Inspect
Live Streaming & Analysis Inflight
Data Processing Ingest

Compatible with multiple payloads
Sigma 25G

Sigma25 series is an under 2.8kg drone meant to have a perfect combination of portability and performance. These drones are qualified as ‘Survey Grade Drone’ by the Survey of India.

Technical Specifications

These drones feature a flight time of up to 50 minutes, a weight of under 3000g, a maximum payload capacity of 300g, a service ceiling height of 4500m, and a range of 4000m.

Features
  • RTK/PPK: Survey grade accuracy
  • Portability: Single backpack
  • Toolless assembly: Quick deployment
  • Reliable and Secure: Failsafe features and encrypted communication
  • Cloud connected: Predictive maintenance
Additional Information