Online Computer Vision Training in Thailand

This live, instructor-led training, available Thailand (either online or onsite), is tailored for intermediate to advanced computer vision engineers, AI developers, and IoT professionals seeking to implement and optimize computer vision models for real-time processing on edge devices.

By the end of the session, participants will be able to:

• Comprehend the basics of Edge AI and its role in computer vision applications.
• Implement optimized deep learning models on edge hardware for real-time image and video analysis.
• Utilize key frameworks like TensorFlow Lite, OpenVINO, and the NVIDIA Jetson SDK for deployment tasks.
• Optimize AI models to ensure high performance, energy efficiency, and minimal latency during inference.

This instructor-led live training, conducted in Thailand (available online or onsite), is specifically curated for advanced professionals seeking to expand their mastery of computer vision. It explores how to leverage TensorFlow’s capabilities to engineer sophisticated vision models using the Google Colab platform.

By the end of this program, participants will have the capability 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 available in Thailand (delivered online or on-site) is specifically designed for intermediate-level AI developers and computer vision engineers seeking to build reliable vision systems for autonomous driving contexts.

By the conclusion of this program, participants will be equipped to:

• Comprehend the essential theories of computer vision in the context of autonomous vehicles.
• Construct algorithms for object detection, lane identification, and semantic segmentation.
• Merge vision technologies with other autonomous vehicle components.
• Deploy deep learning strategies for sophisticated perception tasks.
• Measure the efficacy of computer vision models in practical, real-world conditions.

This live, instructor-led training held in Thailand (either online or on-site) is tailored for entry-level law enforcement officers seeking to move beyond manual facial sketching and embrace AI tools for developing facial recognition systems.

By the conclusion of this program, participants will be able to:

• Comprehend the foundational principles of Artificial Intelligence and Machine Learning.
• Understand the basics of digital image processing and its application in facial recognition.
• Build skills in deploying AI tools and frameworks to construct facial recognition models.
• Accumulate hands-on experience in building, training, and evaluating facial recognition systems.
• Address ethical considerations and adhere to best practices in the deployment of facial recognition technology.

This practical training on Thailand delves into the fundamentals of Fiji and ImageJ for biological research. Participants will develop hands-on skills in image preprocessing, quantitative analysis, and macro automation, enabling them to streamline workflows for histological tissues, cells, and other samples while ensuring reproducible results.

This live, instructor-led training is conducted in Thailand (either online or onsite) and is designed for intermediate-level professionals seeking to utilize Vision Builder AI to design, build, and optimize automated inspection systems for SMT (Surface-Mount Technology) operations.

By the end of the program, learners will be equipped to:

• Set up and configure automated inspection tasks via Vision Builder AI.
• Acquire and preprocess high-quality images for analytical purposes.
• Implement logic-driven decisions for identifying defects and verifying process integrity.
• Generate comprehensive inspection reports and enhance system efficiency.

This instructor-led, live training in Thailand (online or onsite) is designed for intermediate to advanced developers, researchers, and data scientists aiming to implement real-time object detection using YOLOv7.

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

• Comprehend the core concepts of object detection.
• Install and set up YOLOv7 for object detection tasks.
• Train and evaluate custom object detection models with YOLOv7.
• Integrate YOLOv7 with other computer vision frameworks and tools.
• Address common implementation challenges related to YOLOv7.