The company provides a modular drone platform that combines built‑in ultrasonic, infrared and optical flow sensors to achieve millimetre‑level hover stability in GPS‑denied indoor environments.
Funding
Funding not disclosed
Founders
Product
Problem
Indoor and GPS‑denied environments make it difficult to achieve precise, stable hover with conventional drones, limiting their use for training, research, and inspection tasks. Existing platforms often rely on a single sensor type, resulting in drift, collision risk, and unsafe operation in confined spaces.
Solution
Firnas Technologies offers a modular drone platform that integrates ultrasonic, infrared, and optical‑flow sensors to provide millimetre‑level hover stability without GPS. The sensor fusion is managed by proprietary stability algorithms running on a dual‑processor flight controller, ensuring consistent positioning even near obstacles. A lightweight carbon‑fiber cage gives the airframe impact resistance and easy modular reconfiguration for different payloads. An on‑board AI processor executes Python‑based vision and machine‑learning models in real time, enabling on‑board object detection and autonomous navigation. The system delivers reliable performance for indoor labs, training arenas, and other GPS‑restricted settings while maintaining safety and precision.
Target Audience
Primary customers are robotics research laboratories, indoor drone training facilities, and industrial inspection firms that require precise, safe hover performance in confined or GPS‑denied environments.
Features
- Integrated ultrasonic, infrared, and optical‑flow sensors for high‑precision, millimetre hover stability in GPS‑denied spaces
- Proprietary dual‑processor flight control with advanced stability algorithms and real‑time sensor fusion
- Impact‑resistant, lightweight carbon‑fiber modular cage for safe training flights and rapid hardware reconfiguration
- On‑board AI processor capable of running Python vision pipelines and machine‑learning inference for real‑time object detection
- Autonomous navigation support with obstacle avoidance using fused sensor data
- Modular hardware architecture allowing easy addition of custom payloads or sensors