{
    "success": true,
    "data": {
        "id": 1801775,
        "msgid": "itb-students-design-smart-helmet-to-detect-drowsiness-in-motorcyclists-1781353216",
        "date": "2026-06-13 18:06:48",
        "title": "ITB Students Design Smart Helmet to Detect Drowsiness in Motorcyclists",
        "author": "",
        "source": "ANTARA_ID",
        "tags": "",
        "topic": "Technology",
        "summary": "Three students from the Bandung Institute of Technology (ITB) have developed a prototype smart helmet called 'SADAR Helmet' that uses IoT sensors to detect microsleep in motorcyclists. The innovation, which won second place in a national safety competition, aims to reduce traffic accidents by offering a more affordable and preventive safety solution. The team is now seeking collaboration with industry and government to mass-produce the device.",
        "content": "<p>Three Industrial Engineering students from the Bandung Institute of\nTechnology (ITB), forming the iConic team, have developed the \u2018SADAR\nHelmet\u2019, an Internet of Things (IoT)-based smart helmet capable of\ndetecting microsleep symptoms in motorcyclists. The innovation secured\nsecond place nationally in the 2026 Smart Safety Competition (SASECOM)\norganised by the Occupational Safety and Health Forum of the Faculty of\nPublic Health at Diponegoro University (FKM Undip).<\/p>\n<p>\u2018We chose this topic because microsleep is a real and highly relevant\nproblem in Indonesia, especially for motorcyclists who dominate the\nnational accident statistics,\u2019 said team representative Mahesya Friemay\nRomadhoning in Bandung on Saturday. He noted that developments in IoT\nand smart mobility present significant opportunities to introduce\npreventive safety systems that are affordable and easy to implement.<\/p>\n<p>The SADAR Helmet is designed as a retrofit device, meaning the\nmonitoring system can be attached to standard SNI-certified helmets\nalready on the market without altering their original structure. This\napproach makes the cost of implementation far more accessible compared\nto camera-based or EEG drowsiness detection systems.<\/p>\n<p>Technically, the helmet integrates a Photoplethysmography (PPG)\nsensor to read heart rate and Heart Rate Variability (HRV), along with\nan accelerometer and gyroscope to monitor the rider\u2019s head movements in\nreal time. Team member Rizky Miftah Alfiah explained that the prototype\ndesign process utilised SolidWorks and AutoCAD software, with rigorous\nsafety validation based on scientific journals, all while managing a\nbusy academic schedule.<\/p>\n<p>\u2018The process took a lot of time because we spent days brainstorming\nto come up with the SADAR Helmet concept. Coincidentally, we are also\ntaking a Product and Business Development course, and occupational\nhealth and safety is one of the study areas in Industrial Engineering,\u2019\nhe said.<\/p>\n<p>Fellow team member Muhammad Yasser Saputro expressed hope that the\ninnovation could be further developed through integration with mobile\napplications, GPS tracking, cloud monitoring, and artificial\nintelligence-based analysis to improve detection accuracy. The iConic\nteam is now pursuing collaboration opportunities with national helmet\nmanufacturers, the automotive sector, and the government to enable mass\nproduction of this technology aimed at reducing traffic accidents.<\/p>\n<p>\u2018We learned that the success of an innovation comes not only from a\ngood idea, but also from strong research, teamwork, communication, and\nthe ability to understand real problems in society,\u2019 the team\nstated.<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/itb-students-design-smart-helmet-to-detect-drowsiness-in-motorcyclists-1781353216",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}