YOLOv7: Real-time Object Detection with Computer Vision Training Course

This live, instructor-led course in Brazil focuses on deploying and optimizing CV and NLP models via the CANN SDK on Ascend hardware. Participants will master model conversion, live pipeline integration, and inference performance enhancement for real-time detection and analysis tasks.

This instructor-led, live training in Brazil (online or onsite) is aimed at intermediate-level AI developers and computer vision engineers who wish to build robust vision systems for autonomous driving applications.

By the end of this training, participants will be able to:

• Grasp the fundamental concepts of computer vision in autonomous vehicles.
• Develop algorithms for object detection, lane detection, and semantic segmentation.
• Integrate vision systems with other autonomous vehicle subsystems.
• Apply deep learning techniques for advanced perception tasks.
• Evaluate the performance of computer vision models in real-world scenarios.

This instructor-led live training in Brazil (online or onsite) targets advanced professionals seeking to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab.

By the end of this training, participants will be able to:

• Build and train convolutional neural networks (CNNs) using TensorFlow.
• Leverage Google Colab for scalable and efficient cloud-based model development.
• Implement image preprocessing techniques for computer vision tasks.
• Deploy computer vision models for real-world applications.
• Use transfer learning to enhance the performance of CNN models.
• Visualize and interpret the results of image classification models.

This instructor-led, live training in Brazil (online or onsite) is aimed at intermediate-level to advanced-level computer vision engineers, AI developers, and IoT professionals who wish to implement and optimize computer vision models for real-time processing on edge devices.

By the end of this training, participants will be able to:

• Understand the fundamentals of Edge AI and its applications in computer vision.
• Deploy optimized deep learning models on edge devices for real-time image and video analysis.
• Use frameworks like TensorFlow Lite, OpenVINO, and NVIDIA Jetson SDK for model deployment.
• Optimize AI models for performance, power efficiency, and low-latency inference.

This guided, live training in Brazil (online or on-site) targets entry-level law enforcement officers seeking to transition from manual facial sketching to employing AI tools for developing facial recognition systems.

Upon completion of this training, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and Machine Learning.
• Master the fundamentals of digital image processing and its role in facial recognition.
• Acquire proficiency in utilizing AI tools and frameworks to construct facial recognition models.
• Obtain practical experience in designing, training, and evaluating facial recognition systems.
• Comprehend the ethical implications and established best practices surrounding facial recognition technology.

This practical training module in Brazil provides a comprehensive look at Fiji and ImageJ fundamentals for biological research. Participants will develop essential skills in image preprocessing, quantitative analysis, and macro automation, enabling them to streamline workflows for histological tissues, cells, and various other samples while ensuring reproducible results.

Explore the fundamentals of Computer Vision in this hands-on, instructor-led training in Brazil. Participants will leverage Python to construct face, object, and motion detection systems. This course provides a practical foundation in image processing and core computer vision tasks.

This instructor-led, live training in Brazil (online or onsite) is aimed at intermediate-level professionals who wish to use Vision Builder AI to design, implement, and optimize automated inspection systems for SMT (Surface-Mount Technology) processes.

By the end of this training, participants will be able to:

• Set up and configure automated inspections using Vision Builder AI.
• Acquire and preprocess high-quality images for analysis.
• Implement logic-based decisions for defect detection and process validation.
• Generate inspection reports and optimize system performance.