In raising crickets for meat consumption, the growth rate and growth period of crickets are important data used to identify the number of crickets per breeding area at each age. Therefore, the researcher has an idea to create a system for monitoring the growth rate of crickets in a closed system using an infrared camera combined with computer image processing to study the growth and identify the growth period of crickets at each age in order to obtain knowledge that can be disseminated to farmers to improve the breeding process for maximum efficiency.
ปัจจุบันจิ้งหรีดถือได้ว่าเป็นสัตว์เศรษฐกิจชนิดใหม่ของประเทศไทยซึ่งทางภาครัฐโดยเฉพาะกรมปศุสัตว์ได้เริ่มมีการส่งเสริมให้ภาคการเกษตรได้เพาะเลี้ยงจิ้งหรีดเพื่อการบริโภคสำหรับการส่งออก และเป็นการตอบรับกับเทรนด์อุตสาหกรรมอาหารใหม่ (Novel food) ตามแนวทางขององค์การอาหาร และเกษตรแห่งสหประชาชาติ (FAO : Food and Agriculture Organization) ซึ่งคาดการณ์เอาไว้ว่าจำนวนประชากรโลกจะเพิ่มขึ้นอย่างต่อเนื่องทำให้ความต้องการแหล่งโปรตีนมีมากขึ้นตามไปด้วย คณะผู้วิจัยจึงมีแนวความคิดที่จะหาสร้างระบบเลี้ยงจิ้งหรีดที่มีประสิทธิภาพ
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
The Project Urban House is an initiative focused on developing and designing urban housing solutions that address the growing demand for city living. The project emphasizes efficient space utilization, sustainability, and designs that cater to modern urban lifestyles. Key considerations include the use of eco-friendly materials, the integration of green spaces, and the implementation of smart home technologies to enhance residents' quality of life.
คณะบริหารธุรกิจ
This project aims to develop seafood dipping sauce and Jaew sauce in solid cube form to address the limitations of liquid sauces, which can be difficult to carry and prone to spillage, as well as powdered sauces, which may lose their texture and authentic flavor. The research and development process focuses on utilizing distinct ingredients and innovative production techniques to enhance the quality and functionality of the product. The primary objective of this project is to introduce an innovative solution that improves the convenience of consumption and transportation while preserving the original taste and quality of traditional dipping sauces. The expected outcome is a novel dipping sauce product in solid cube form that is easy to carry, minimizes the risk of spillage, and holds potential for commercial development in the food industry.
คณะเทคโนโลยีสารสนเทศ
This research presents a deep learning method for generating automatic captions from the segmentation of car part damage. It analyzes car images using a Unified Framework to accurately and quickly identify and describe the damage. The development is based on the research "GRiT: A Generative Region-to-text Transformer for Object Understanding," which has been adapted for car image analysis. The improvement aims to make the model generate precise descriptions for different areas of the car, from damaged parts to identifying various components. The researchers focuses on developing deep learning techniques for automatic caption generation and damage segmentation in car damage analysis. The aim is to enable precise identification and description of damages on vehicles, there by increasing speed and reducing the work load of experts in damage assessment. Traditionally, damage assessment relies solely on expert evaluations, which are costly and time-consuming. To address this issue, we propose utilizing data generation for training, automatic caption creation, and damage segmentation using an integrated framework. The researchers created a new dataset from CarDD, which is specifically designed for cardamage detection. This dataset includes labeled damages on vehicles, and the researchers have used it to feed into models for segmenting car parts and accurately labeling each part and damage category. Preliminary results from the model demonstrate its capability in automatic caption generation and damage segmentation for car damage analysis to be satisfactory. With these results, the model serves as an essential foundation for future development. This advancement aims not only to enhance performance in damage segmentation and caption generation but also to improve the model’s adaptability to a diversity of damages occurring on various surfaces and parts of vehicles. This will allow the system to be applied more broadly to different vehicle types and conditions of damage inthe future