Technologies / Artificial Intelligence

Video analytics with hardware acceleration

The training focuses on advanced video processing techniques using hardware acceleration in the context of artificial intelligence. The program covers practical aspects of implementing real-time video analysis systems, with a focus on performance optimization. The workshop combines theory with intensive hands-on sessions, allowing participants to understand both the algorithmic and technical aspects of implementation.

Issues

GPU/TPU architecture
Parallel programming
Stream processing
Object detection
Motion tracking
Performance optimization
Memory management
Profiling of systems
Scaling up solutions
Performance monitoring
Edge computing
Real-time systems

Benefits

The participant will develop the ability to design high-performance video analysis systems
Implementing algorithms using hardware acceleration
Will learn to optimize real-time video processing performance
Will learn techniques for efficient use of GPU/TPU resources in video analysis
Will be able to implement advanced object detection and tracking algorithms
Will gain the ability to design scalable video stream processing systems
Will develop the ability to diagnose and solve performance problems
Will gain experience in managing large-scale video analysis systems

Who is this training for?

Vision systems programmers

Performance optimization engineers

Video processing specialists

AI systems architects

Engineers edge computing

GPU programmers

Specialists in monitoring systems

IoT engineers working with video

Prerequisites

Knowledge of parallel programming
Experience in image processing
GPU architecture basics
Knowledge of vision algorithms

Training program

Parallel programming models
Memory optimization

Real-time video processing

Motion tracking
Semantic segmentation
Behavioral analysis
Performance optimization
Acceleration techniques
Resource management

Profiling performance
Production deployments
Systems architecture
Scaling up solutions
Performance monitoring
Stream management

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Video analytics with hardware acceleration we recommend: Knowledge of parallel programming; Experience in image processing; GPU architecture basics.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Vision systems programmers; Performance optimization engineers; Video processing specialists.