Foresight Advances UAV Perception with NVIDIA Jetson Orin Integration

20 March 2025 | Interaction | By editor@rbnnpress.com


Oren Bar-On, VP of Global Operations and CEO of Foresight Asia, discusses how NVIDIA’s Jetson Orin Nano and AGX Orin platforms enhance drone intelligence, improving real-time processing, obstacle detection, and operational efficiency.

 

Autonomous drones and UAVs are evolving rapidly, with AI-driven perception playing a crucial role in their effectiveness. Foresight has taken a major leap by integrating NVIDIA’s Jetson Orin Nano and AGX Orin platformsinto its 3D perception systems. In this exclusive conversation with Robotics Business News, Oren Bar-On, VP of Global Operations and CEO of Foresight Asia, shares insights on how this integration enhances real-time data processing, power efficiency, and obstacle detection—paving the way for safer and more efficient UAV operations in search & rescue, agriculture, and beyond.

Q1: What has Foresight recently integrated into its 3D perception systems for autonomous drones and UAVs?

A: Foresight has integrated NVIDIA’s Jetson Orin Nano and AGX Orin platforms into its 3D perception systems. This enhances real-time data processing, obstacle detection, and energy efficiency, making UAVs more effective in applications like search and rescue and agricultural monitoring.

Q2: What improvements do the NVIDIA Jetson Orin platforms bring to Foresight’s drones?

A: The integration offers significant advancements in AI-powered perception:

  • Jetson Orin Nano is optimized for compact, lightweight drones, providing robust AI performance with minimal weight and energy consumption.
  • Jetson AGX Orin delivers up to 275 trillion operations per second (TOPS), enabling advanced obstacle detection, real-time data processing, and precise terrain mapping.

Q3: How does the integration enhance real-time data processing and obstacle detection?

A: Foresight’s drones can now process sensor data in real time, even in challenging conditions like low-light environments, heavy fog, and extreme weather. The increased computational power supports sophisticated algorithms that improve obstacle detection and autonomous navigation, ensuring safer drone operations.

Q4: What role does power efficiency play in drone operations, and how does this integration help?

A: Power efficiency is crucial for maximizing drone endurance and reducing operational costs. The NVIDIA Jetson Orin platforms improve energy efficiency, resulting in:

  • Longer flight times
  • Reduced battery weight
  • Lower power consumption
    These factors are essential for large-scale and remote-area drone applications, where frequent recharging is impractical.

Q5: How does this technology enhance search and rescue operations?

A: Foresight’s multi-spectral vision technology, combined with Jetson Orin’s AI processing, enables drones to:

  • Use thermal imaging to detect heat signatures from human bodies, even in fog, rain, or dense forests.
  • Reduce false positives by distinguishing between humans and the surrounding terrain.
  • Assist in wildfire scenarios by tracking fire progression, detecting hotspots, and assessing evacuation zones.
  • Help firefighters locate survivors in smoke-filled environments using AI-enhanced mapping.

Q6: What are the benefits for agricultural monitoring?

A: The improved obstacle detection and AI-driven processing allow drones to navigate safely around farm structures like trees and poles while collecting valuable data. This is particularly useful for large-scale farms where UAVs need to operate autonomously over vast distances and varying weather conditions.

Q7: What challenges does Foresight face in integrating NVIDIA’s AI and GPU capabilities?

A: The key challenges include:

  • System Compatibility – Ensuring seamless integration with existing hardware and software.
  • Energy Management – Balancing high-performance processing with power efficiency to maintain drone endurance.

Foresight is addressing these challenges through careful software engineering, rigorous testing, and potential custom hardware designs to optimize performance.

Q8: How does this integration strengthen Foresight’s competitive position?

A: Foresight differentiates itself by combining multi-spectral vision (thermal and visible-light imaging) with AI-powered processing. Compared to competitors relying solely on LiDAR or visible-light cameras, Foresight’s solution offers:

  • Lower power consumption and extended drone flight times.
  • Real-time onboard processing, enabling independent UAV operations without external servers.
  • Superior AI-based fusion of multi-spectral data for reliable performance in harsh weather conditions.

This positions Foresight as a leader in industries like agriculture, search & rescue, and large-scale infrastructure monitoring, where UAVs need to operate efficiently over vast areas without frequent recharging.