This research aims to develop an automatic gemstone color sorting machine to overcome the limitations of manual color sorting, which can be restricted by speed and accuracy. This study applies deep learning technology to analyze and classify gemstone colors precisely, developing an algorithm capable of accurately detecting and categorizing color shades. An automated conveyor system was also designed to efficiently transport gemstones through the color sorting process, allowing for continuous operation. The sorting machine works by capturing high-resolution images of the gemstones, processing them with software to classify color shades, and directing each gemstone to its designated position on the automated conveyor. Experimental results demonstrate that the automated color sorting machine, integrated with the conveyor system, achieves high speed and accuracy, significantly reducing labor costs and enhancing the efficiency of gemstone color sorting.
ปัจจุบันการตรวจสอบเฉดสีของพลอยถือเป็นขั้นตอนสำคัญในการประเมินคุณภาพ ทั้งในกระบวนการผลิตและการค้าขาย อย่างไรก็ตามการตรวจสอบเฉดสีที่ดำเนินการโดยมนุษย์นั้นมีข้อจำกัดหลายประการ ซึ่งหนึ่งในนั้นเป็นเรื่องความสามารถในการแยกเฉดสีที่ซับซ้อน ซึ่งอาจทำให้การตรวจสอบใช้เวลานาน และมีความแม่นยำต่ำ จากปัญหาดังกล่าว จึงได้พัฒนาแนวคิดในการสร้างเครื่องคัดแยกเฉดสีพลอยอัตโนมัติ โดยใช้ระบบ Computer Vision ร่วมกับระบบอัตโนมัติในการวิเคราะห์เฉดสีของพลอย เพื่อลดข้อจำกัดของการตรวจสอบด้วยมนุษย์ เพิ่มความแม่นยำและประสิทธิภาพในการทำงาน รวมถึงทำให้กระบวนการตรวจสอบเป็นไปอย่างรวดเร็วและมีมาตรฐานของเฉดสี GIA (Gemological Institute of America)
คณะวิศวกรรมศาสตร์
This study was conducted to develop a prototype cooling cover for transporting raw milk, aiming to provide a solution for maintaining the quality of raw milk during transportation to milk collection centers. The cooling cover is made using Phase Change Material (PCM), produced from water mixed with a gelling agent, in an amount of 5.6 kg, attached around an aluminum milk tank (with a capacity of 25 L). The cover is then covered with a UV-reflective fabric in two types: polyvinyl chloride (PVC) and high-density polyethylene (HDPE). The temperature reduction performance of both types of covers was evaluated by measuring water temperatures at various points along the radial and vertical directions of the milk tank at six points, using type-T thermocouples, under three environmental conditions: a constant temperature of 25 °C, 35 °C, and outdoor ambient temperature (average temperature 35.5 °C) for a minimum duration of 180 min. The experimental results revealed that at 120 min., the water in the tank covered with PCM-PVC and PCM-HDPE covers had temperatures lower than the ambient temperature by 12.6 °C and 12.9 °C, respectively, under a constant ambient temperature of 25 °C, and under a constant ambient temperature of 35 °C lower by 16.7 °C and 16.4 °C, respectively, and outdoor conditions. Since the temperature reduction performance of PCM-PVC and PCM-HDPE covers showed no significant difference, the performance of microbial quality preservation of raw milk was assessed only with PCM-PVC cover in comparison to a non-covered case (control), by measuring coliform and Escherichia coli counts using compact dry plates. Results indicated that after 120 min., milk in the tank covered with PCM-PVC had an average coliform count of 1.6 × 10^4 CFU/ml and E. coli count of 2 × 10^3 CFU/ml, which was lower than the non-covered control with an average coliform count of 1.5 × 10^4 CFU/ml and E. coli count of 1.1 × 10^4 CFU/ml. This study concludes that the temperature reduction achieved by the cooling cover can help inhibit coliform growth to levels below raw milk quality standards, demonstrating the potential of the cooling cover in maintaining the quality and safety of raw milk during transport, ultimately contributing to an improved quality of life for Thai dairy farmers.
คณะวิทยาศาสตร์
The synthesis using electrons as reagents instead of oxidants is a method for synthesizing drug molecules in a way that reduces the use of chemicals, thereby minimizing environmental pollution.
คณะเทคโนโลยีการเกษตร
Rice is a salt-sensitive crop. The objective of this study was to evaluate the effect of salinity at flowering stage on physiological traits and yield of landrace rice. The experiment design was 4*10 Factorial in RCBD with 4 replications. Factor A was four salinity levels: control, 6, 12 and 16 dS/m; Factor B was 10 rice varieties. Data were collected on physiological traits and grain yield. The results showed that increasing salinity level decreased rice yield. The highest yield reduction was found when the rice received salt stress at 16 dS/m. In addition, rice varieties showed different yield performance when exposed to salt stress. In this found that Hom Yai variety had the lowest yield reduction when grown at 16 dS/m salinity level and did not differ from salt tolerant check variety.