Smart Sourcing for Unmanned Systems
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The rise of intelligent edge devices has revolutionized various industries, from autonomous vehicles navigating complex environments to security systems with real-time object detection.
At the heart of these applications lies the ability to accurately detect and track objects in real-time – a process known as Detection & Tracking (D&T).
Spleenlab VISIONAIRY® D&T solutions are specifically designed for embedded devices with limited processing power. These solutions include:
- Detection: Accurately identify objects of interest in real-time, even in challenging environments.
- Single Object Tracking (SOT): Track the movement of individual objects over time, providing valuable insights into their behavior.
- Multi-Object Tracking (MOT): Track multiple objects simultaneously, essential for applications like autonomous driving and surveillance systems.
Traditional D&T approaches rely on heavy computing resources in the cloud. However, this approach introduces latency, hindering real-time decision-making crucial for edge applications. D&T on the edge overcomes this limitation by performing computations directly on the device, enabling faster response times and improved system autonomy.
Spleenlab’s D&T solutions are optimized for popular embedded device platforms like TI, Qualcomm, and NVIDIA, catering to a wide range of applications. From enabling autonomous vehicles to navigate safely by detecting and tracking objects to enhancing security systems with real-time object detection and tracking, and empowering drones to avoid obstacles, Spleenlab’s solutions deliver efficient, powerful, and privacy-focused performance across various industries.
D&T on the edge unlocks a new era of real-time intelligence for embedded devices. Spleenlab, with its Spleenlab VISIONAIRY D&T, empowers developers to create intelligent applications across various industries.
By minimizing latency and maximizing efficiency, Spleenlab paves the way for a future where edge devices can make critical decisions autonomously, based on real-time insights from their surroundings.
