BANDUNG \u2014 Three students from the Bandung Institute of Technology\n(ITB) have developed artificial intelligence (AI) prototypes to address\nchallenges in industry, ranging from waste recycling and worker safety\nto logistics. The technology is designed to detect contaminants during\npaper recycling, monitor workers\u2019 ergonomic risks and anticipate\ntemperature disruptions in the distribution of refrigerated goods.<\/p>\n
The three projects use computing technology to develop AI models for\nindustrial applications. They were developed using an ASUS ROG Strix G16\nlaptop equipped with an NVIDIA GeForce RTX 5070 Laptop GPU to accelerate\nmodel training and system testing.<\/p>\n
ITB School of Electrical Engineering and Informatics student Izhar\nAlif Akbar developed REBA.ai, a computer vision system that uses CCTV\nfootage to monitor ergonomic risks for factory workers. The technology\nis designed to assess workers\u2019 postures against the Rapid Entire Body\nAssessment (REBA) standard.<\/p>\n
The system enables potential risks arising from working positions to\nbe monitored continuously. Although AI performs the analysis, final\ndecisions on worker safety remain with human supervisors.<\/p>\n
During development, GPU acceleration helped speed up model training\nand machine-learning experiments. Shorter processing times allowed the\ndevelopers to conduct more tests and improve the system\u2019s\ncapabilities.<\/p>\n
Meanwhile, ITB student Tsabita Khoirunnisa developed ColdTrack AI to\nhelp manage cold chains in the logistics sector. The system uses\ntelemetry data from refrigerated trucks to forecast changes in cargo\ntemperatures and detect potential disruptions during delivery.<\/p>\n
ColdTrack AI is also designed to estimate how long it will take for\ncargo temperatures to exceed safe limits. Based on its analysis, the\nsystem produces a cargo risk index, determines the status of the load\nand recommends actions according to the level of risk.<\/p>\n
In waste management, Muhammad Taufiq Al Fikri developed\nRecycledFiberAI to assist with paper recycling. The computer vision\nprototype is designed to detect and map contaminants, such as plastic\nand metal, in streams of recyclable paper materials in real time.<\/p>\n
The technology is expected to help identify contaminants and make the\nprocessing of recycled materials more effective. GPU acceleration is\nalso used in developing the AI model to support visual data\nprocessing.<\/p>\n
NVIDIA Indonesia Country Consumer Business Lead Adrian Lesmono said\nAI computing technology could help students develop solutions to\nindustrial problems. Access to computing hardware enables\nexperimentation and model development to be carried out more\nefficiently.<\/p>\n
\u201cNVIDIA acts as a catalyst connecting industry and education to\naccelerate AI innovation,\u201d Adrian said during a recent visit to ITB.<\/p>\n
According to Adrian, proficiency in AI needs to be accompanied by an\nunderstanding of the problems it is intended to solve. The technology is\nnot a substitute for human capabilities, but a means of developing\nsolutions based on people\u2019s knowledge and skills.<\/p>\n
\u201cThrough technology support and access to AI computing, NVIDIA\nencourages students to experiment, develop their skills and transform\nfrom users into creators of AI solutions,\u201d he said.<\/p>\n
Adrian added that developing AI skills is important so students do\nnot merely use existing technology, but can also build systems suited to\nthe needs of society and businesses.<\/p>\n
\u201cWe want to encourage more students to become AI builders capable of\nproducing innovations relevant to society and industry,\u201d he said.<\/p>\n
The three prototypes were developed in connection with RTX AI PC Day,\norganised by NVIDIA, ITB and several computer-manufacturer partners. The\nevent involved ASUS, Acer, Axioo, Colorful, Gainward, GIGABYTE, Lenovo,\nMSI and Palit to introduce students to the use of AI computing.<\/p>\n
The event gave students the opportunity to explore AI applications\nfor a range of industrial problems. The three projects demonstrate the\ntechnology\u2019s potential to support workplace safety, logistics management\nand materials recycling.<\/p>", "url": "https:\/\/jawawa.id\/newsitem\/itb-students-develop-ai-for-waste-recycling-1792583530", "image": "" }, "sponsor": "Okusi Associates", "sponsor_url": "https:\/\/okusiassociates.com" }