Project 1: High-Accuracy Vehicle License Plate Recognition for Low-End Devices
I developed a Vehicle License Plate Recognition application. Currently, the application is implemented at Tol Hutama Marga Waskita (HMW), Wijaya Karya Serang - Panimbang (WSP), Jasa Marga Kualanamu (JMKT),Jakarta TollRoad (JTD) , and PP Semarang Demak (PPSD). The recognition accuracy reaches 98% for each toll gate. Most proudly, the application can run on low-end devices without a GPU, achieving an FPS of 15 while maintaining high accuracy.
I developed a Vehicle License Plate Recognition application. Currently, the application is implemented at Tol Hutama Marga Waskita (HMW), Wijaya Karya Serang - Panimbang (WSP), Jasa Marga Kualanamu (JMKT),Jakarta TollRoad (JTD) , and PP Semarang Demak (PPSD). The recognition accuracy reaches 98% for each toll gate. Most proudly, the application can run on low-end devices without a GPU, achieving an FPS of 15 while maintaining high accuracy.
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Project 2: AI-based Vehicle Recognition System for Logos, Colors, and License Plates on Low-End Devices
I developed an AI-based application for recognizing vehicle body colors, vehicle logos, and license plates all within a single low-end system. The application can recognize several vehicle logos including Toyota, Suzuki, Nissan, Mitsubishi, Honda, Daihatsu, Chevrolet, Hyundai, Wuling, and various body colors such as white, black, blue, yellow, silver, and red. The application has been implemented in several locations, including the Kemukus parking area in West Jakarta.
I developed an AI-based application for recognizing vehicle body colors, vehicle logos, and license plates all within a single low-end system. The application can recognize several vehicle logos including Toyota, Suzuki, Nissan, Mitsubishi, Honda, Daihatsu, Chevrolet, Hyundai, Wuling, and various body colors such as white, black, blue, yellow, silver, and red. The application has been implemented in several locations, including the Kemukus parking area in West Jakarta.
Project 3: Low-Cost AI-Based Water Turbidity Monitoring System for Water Treatment Decision-Making
I developed a low-cost AI-based water turbidity reading application for decision-making in water treatment processes. This application has been used to monitor the water treatment system at JASAMARGA.
I developed a low-cost AI-based water turbidity reading application for decision-making in water treatment processes. This application has been used to monitor the water treatment system at JASAMARGA.
Project 4: AI-Based Water Meter Reading Application for Monitoring Water Treatment Output
I developed an AI-based water meter reading application to monitor water flow from the water treatment process for both household and industrial scales. Here is a demo of the reading application.
I developed an AI-based water meter reading application to monitor water flow from the water treatment process for both household and industrial scales. Here is a demo of the reading application.
Project 5: AI-Based Rupiah Currency Reader for People with Special Needs
I developed an AI-based application for reading Indonesian Rupiah currency to assist individuals with special needs while shopping in public spaces. The reading results are stored in the cloud, specifically using Firebase for this project.
I developed an AI-based application for reading Indonesian Rupiah currency to assist individuals with special needs while shopping in public spaces. The reading results are stored in the cloud, specifically using Firebase for this project.
Project 6: AI for Video Translation and Text Summarization
I developed an AI application in the field of natural language processing. The AI is designed for video translation and text summarization. A demo video can be viewed in the clip below.
I developed an AI application in the field of natural language processing. The AI is designed for video translation and text summarization. A demo video can be viewed in the clip below.
Project 7: Iris Flower Classification on ESP32 with Random Forest
I am developing an Iris flower classification application using a Random Forest model running on the ESP32. The demo video is shown below..
I am developing an Iris flower classification application using a Random Forest model running on the ESP32. The demo video is shown below..
