Computer Vision Training in Bangkok

This live, instructor-led training, available Bangkok (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 live, instructor-led training on Bangkok (delivered online or on-site) is tailored for advanced professionals seeking to expand their computer vision knowledge. It focuses on utilizing TensorFlow’s strengths to build sophisticated vision models using Google Colab.

By the end of the program, participants will have the ability to:

• Construct and train convolutional neural networks (CNNs) with TensorFlow.
• Utilize Google Colab to achieve scalable and efficient cloud-based model development.
• Integrate image preprocessing techniques suitable for computer vision workflows.
• Deploy computer vision solutions for real-world use cases.
• Apply transfer learning to enhance the accuracy and performance of CNN models.
• Effectively visualize and analyze the results of image classification models.

This instructor-led, live training available in Bangkok (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 Bangkok (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 Bangkok 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 Bangkok (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 Bangkok (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.