Seminar and Workshop on Object Recognition using Deep Learning at Sam Ratulangi University Manado

Authors

  • Christine Dewi Universitas Kristen Satya Wacana

DOI:

https://doi.org/10.32815/jpm.v5i1.1379

Keywords:

Object Recognition, Deep Learning, Convolutional Neural Network

Abstract

Purpose: This seminar and workshop aim to address the lack of understanding among students regarding object recognition with deep learning. By exploring the concepts and applications of deep learning in object detection and recognition, participants will gain insights into this crucial aspect of computer vision.

Method: The event will feature lectures, practical demonstrations, and hands-on workshops conducted by experts in the field. Participants will engage in interactive sessions to deepen their understanding of convolutional neural networks and other deep learning techniques for object recognition.

Practical Applications: The knowledge gained from this seminar and workshop will have practical implications across various industries, including autonomous vehicles, healthcare, security systems, and robotics. Participants will learn how to apply deep learning algorithms to solve real-world problems related to object detection and recognition.

Conclusion: By the end of the seminar and workshop, participants are expected to have acquired a deeper understanding of object recognition with deep learning and its practical applications. This will contribute to bridging the gap between theoretical knowledge and real-world implementation in the field of computer vision.

References

Aini, Q., Lutfiani, N., Kusumah, H., & Zahran, M. S. (2021). Deteksi dan Pengenalan Objek Dengan Model Machine Learning: Model Yolo. CESS (Journal of Computer Engineering, System and Science), 6(2). https://doi.org/10.24114/cess.v6i2.25840

Ath-thaariq, J. F., & Rajagede, R. A. (2021). Kajian Pustaka Pengembangan Aplikasi Mobile untuk Pengenalan Bahasa Isyarat Berbasis Deep Learning. Automata, 2(1).

Chen, R. C., Dewi, C., Huang, S. W., & Caraka, R. E. (2020). Selecting critical features for data classification based on machine learning methods. Journal of Big Data, 7(52), 1–26. https://doi.org/10.1186/s40537-020-00327-4

Dewi, C., Chen, R. C., & Yu, H. (2020a). Weight analysis for various prohibitory sign detection and recognition using deep learning. Multimedia Tools and Applications, 79(43–44), 32897–32915. https://doi.org/10.1007/s11042-020-09509-x

Dewi, C., Chen, R. C., & Yu, H. (2020b). Weight analysis for various prohibitory sign detection and recognition using deep learning. Multimedia Tools and Applications, 79(43–44), 32897–32915. https://doi.org/10.1007/s11042-020-09509-x

Dewi, C., Christanto, J., & Henoch. (2022). Combination of Deep Cross-Stage Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection. Big Data and Cognitive Computing, 6(3), 85.

Dompeipen, T. A., Najoan, M. E. I., Elektro, J. T., Sam, U., & Manado, R. (2021). Computer Vision Implementation for Detection and Counting the Number of Humans. Jurnal Teknik Informatika, 16(1).

Hartini, U. P. (2021). Upaya Meningkatkan Minat Belajar Siswa Pada Mata Pelajaran Fiqih Mwlalui Metode Demonstrasi Kelas VIII Di MTs Miftahussalam. Kumpulan Karya Ilmiah Mahasiswa Fakultas Agama Islam Dan Humaniora, 2(02).

Hidayati, N. A. (2021). Peningkatan Keterampilan Pidato Melalui Metode Demonstrasi Berbantuan Unggah Tugas Video di Youtube. Jurnal Educatio FKIP UNMA, 7(4).

Khamdi, N., Susantok, M., & Leopard, P. (2017). Pendeteksian Objek Bola dengan Metode Color Filtering HSV pada Robot Soccer Humanoid. Jurnal Nasional Teknik Elektro, 6(2). https://doi.org/10.25077/jnte.v6n2.398.2017

Mariani, R. (2021). Peningkatan Hasil Belajar Siswa Pada Mata Pelajaran Ppkn Melalui Metode Diskusi. Jurnal Junjungan Pendidikan …, 6(1).

Polencys, M., Ri’a 1, P., & Nono, Y. (2021). Penigkatan Prestasi Belajar Pantun Melalui Penggunaan Metode Diskusi. Edukatif : Jurnal Ilmu Pendidikan, 3(5).

Su, Q., Kondo, N., Li, M., Sun, H., Al Riza, D. F., & Habaragamuwa, H. (2018). Potato quality grading based on machine vision and 3D shape analysis. Computers and Electronics in Agriculture, 152. https://doi.org/10.1016/j.compag.2018.07.012

Utami, M., Andika, J., & Attamimi, S. (2021). Artificial Intelligence for Banana’s Ripeness Detection Using Conventional Neural Network Algorithm. Jurnal Teknologi Elektro, 12(2). https://doi.org/10.22441/jte.2021.v12i2.005

Wantania, Sompie, & Kambey. (2020). Penerapan Pendeteksian Manusia Dan Objek Dalam Keranjang Belanja Pada Antrian Di Kasir. Jurnal Teknik Informatika, 15(2).

Downloads

Published

2024-06-06

How to Cite

Dewi, C. (2024). Seminar and Workshop on Object Recognition using Deep Learning at Sam Ratulangi University Manado. Jurnal Pengabdian Masyarakat, 5(1), 151–156. https://doi.org/10.32815/jpm.v5i1.1379

Similar Articles

<< < 1 2 3 

You may also start an advanced similarity search for this article.