About the Webinar

Tackling the complexities of scaling video analytics on edge devices requires a multifaceted approach, combining advanced algorithmic solutions with effective runtime and pipeline optimization strategies.

This webinar is designed to guide you through this intricate process. We will delve into selecting efficient models tailored for object detection on edge hardware and enhancing throughput and hardware utilization with advanced tools and techniques. Join us to uncover the keys to achieving superior real-time analytics performance at the edge.

Key Takeaways:

• Optimized Models: Learn about state-of-the-art object detection & pose estimation models, including models for small object detection, that maintain high accuracy and speed on edge devices such as NVIDIA Jetson Orin. 
• Throughput Enhancement Techniques: Discover how advanced techniques like compilation with TensorRT and quantization can significantly boost performance.
• Maximizing Hardware Utilization: Learn how to run multiple video streams on a single device using NVIDIA DeepStream SDK to maximize hardware utilization.
• Real-World Applications: Gain insights into practical applications and case studies that demonstrate the effectiveness of these strategies in diverse scenarios.

Fill up the form to save your spot!

Meet The Speaker