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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Simantec Jurnal Teknologi Informasi dan Ilmu Komputer JOIV : International Journal on Informatics Visualization Knowledge Engineering and Data Science ILKOM Jurnal Ilmiah SENTIA 2017 Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Electrical Engineering and Computer Science JAMI: Jurnal Ahli Muda Indonesia International Journal of Engineering, Science and Information Technology Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Jurnal Teknik Ilmu dan Aplikasi Jurnal Informatika Polinema (JIP) Jurnal Pengabdian Kepada Masyarakat
Rosa Andrie Asmara
Politeknik Negeri Malang
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Journal : JOIV : International Journal on Informatics Visualization

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An Experimental Study on Deep Learning Technique Implemented on Low Specification OpenMV Cam H7 Device Asmara, Rosa Andrie; Rosiani, Ulla Delfana; Mentari, Mustika; Syulistyo, Arie Rachmad; Shoumi, Milyun Ni'ma; Astiningrum, Mungki
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2299

Abstract

This research aims to identify and recognize the OpenMV Camera H7. In this research, all tests were carried out using Deep Machine Learning and applied to several functions, including Face Recognition, Facial Expression Recognition, Detection and Calculation of the Number of Objects, and Object Depth Estimation. Face Expression Recognition was used in the Convolutional Neural Network to recognize five facial expressions: angry, happy, neutral, sad, and surprised. This allowed the use of a primary dataset with a 48MP resolution camera. Some scenarios are prepared to meet environment variability in the implementation, such as indoor and outdoor environments, with different lighting and distance. Most pre-trained models in each identification or recognition used mobileNetV2 since this model allows low computation cost and matches with low hardware specifications. The object detection and counting module compared two methods: the conventional Haar Cascade and the Deep Learning MobileNetV2 model. The training and validation process is not recommended to be carried out on OpenMV devices but on computers with high specifications. This research was trained and validated using selected primary and secondary data, with 1500 image data. The computing time required is around 5 minutes for ten epochs. On average, recognition results on OpenMV devices take around 0.3 - 2 seconds for each frame. The accuracy of the recognition results varies depending on the pre-trained model and the dataset used, but overall, the accuracy levels achieved tend to be very high, exceeding 96.6%.
Co-Authors Abdurrahman, Raka Admiral Adhiati Kusuma Wardani Adhitama, Dodik Widya Adzikirani Adzikirani Adzikirani, Adzikirani Agustina, Reza Alfan Hadi Permana Alviana, Vita Andjani, Bella Sita Angga Aditya Indra Wiratmaka Anik Nur Handayani Ardiansyah, Muhammad Rizqi Ariadi Retno Tri Ariadi Retno Tri Hayati Ririd Arie Rachmad Syulistyo Arief Prasetyo Arief Prasetyo Arinda, Vivid Ichtarosa Astiningrum, Mungki Astuti, Ely Setyo Atiqah Nurul Asri Awan Setiawan Bella Sita Andjani Burhanuddin, Mohd Aboobaider Candra Bella Vista Choirina, Priska Christine, Anastasia Merry Citra Nurina Prabiantissa Citra Nurina Prabiantissa Damanhuri, Nor Salwa Damayanti, Farradila Ayu Deddy Kusbianto P. A Deddy Kusbianto Purwoko Aji Dhika Ainul Luthfi Dika Rizky Yunianto Dimas Wahyu Wibowo Dolly Indra Dwi Puspitasari Dwi Puspitasari DWI PUSPITASARI Eka Larasati Amalia Ekojono, Ekojono Elok Nur Hamdana Era Chalis Kurniangesti Erfan Rohadi Faisal Rahutomo Fitriana Nur’Aini D Fitriana, Aliza Rizqi Galang Audi Pramasha Gunawan Budi P Habibie Ed Dien Hapsari, Ratih Indri Hendrawan, Muhammad Afif Imam Fahrur Rozi Indra Wiratmaka, Angga Aditya Kohei Arai Kohei Arai Kohei Arai Kristinanti Charisma Kurniangesti, Era Chalis Kusbianto P. A, Deddy Kusbianto P. A Kusumaningtyas, Sella Laistulloh, Dika Fikri lilis nurhayati M. Rahmat Samudra M. Unggul Pamenang Muhammad Ainur Ilmy Muhammad Ridwan Musthafa, Muhammad Bisri Mustika Mentari Nadhifatul Laeily Nalendra, Adimas Ketut Ngatmari, Ngatmari Noprianto, Noprianto Nur’Aini D, Fitriana Nurudin Santoso Odhitya Desta Triswidrananta Permana, Alfan Hadi Pramasha, Galang Audi Primadhana, Yoga Andri Qonitatul Hasanah Rahmad, Cahya Rahman, Mochamad Faisal Rahmanto, Anugrah Nur Rahmat Samudra Anugrah, Muhammad Rakhmat Arianto Reza Agustina Robertus Romario Rokhman, Syaiful Ronilaya, Ferdian Rudy Ariyanto Ryan Rifqi Arista Sabita, Almira Rahma Santoso, Nurudin Sari, Irawati Nurmala Sella Kusumaningtyas Shoumi, Milyun Ni’ma Siradjuddin, Indrazno Siska Stevani Siti Romlah Stevani, Siska Syaiful Rokhman Taw, Phillip Tri, Ariadi Retno Triswidrananta, Odhitya Desta Ulfa, Farida Ulla Delfana Rosiani Usman Nurhasan Veithzal Rivai Zainal Vita Alviana Vivin Ayu Lestari Wahyu Sakti Gunawan Irianto Wardani, Adhiati Kusuma Wilda Imama Sabilla Yan Watequlis Syaifudin Yoga Andri Primadhana