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LAMPIRAN J

BORANG INVENTORI PROJEK PELAJAR
SESI 1:2022/2023

PERKARA MAKLUMAT

Program: DIPLOMA KEJURUTERAAN MEKANIKAL

Jabatan: JABATAN KEJURUTERAAN MEKANIKAL

Semester/ Kelas/ SEMESTER 5/ DKM5A/ 2022
Tahun:
Tajuk SMART CLOTHE AI MACHINE
Kajian/Projek:
Jenis PROJEK JENIS NYATA
Kajian/Projek:
Kategori Kluster Tanda “ / ” pada yang berkenaan:
Penyelidikan:
Sains Tulen Sains Sosial
Sains Gunaan Sasteran & Sastera Ikhtisas
/ Teknologi & Kejuruteraan Warisan Alam & Budaya
Sains Kesihatan & Klinikal ICT
Ahli Kumpulan: 1. Nama: MUHAMAD ASYRAFF HAIQAL BIN MOHD RAMLI
No. Pendaftaran Pelajar: 08DKM20F1005
2. Nama: MUHAMMAD SYAFIQ IKMAL BIN M.AMRRAN
No. Pendaftaran Pelajar: 08DKM20F1002
3. Nama: NUR ISMA LIYANA BINTI NORLISMAN
No. Pendaftaran Pelajar: 08DKM20F1022
Penyelia: Nama: BRYAN HEE TZE KEON
No. Kad Pengenalan:7104070-08-5875
Penyelia Bersama: Nama: TIADA
No. Kad Pengenalan:
Multi-Disiplin: Mechanical Engineering / Electronic Engineering
Kolaborasi: (Nyatakan maklumat lengkap industri/komuniti yang terlibat dalam
(Industri/Komuniti) pembangunan projek berserta peranan dan sumbangan pihak industri)

Objektif 1) To solve the problem of users living in multi -storey buildings.
Kajian/Projek:
2) To provide feedback to consumers on the condition of clothing
according to the weather.

3) To avoided wet clothes when exposed to rain.

Skop
Kajian/Projek: The study's scope is limited in terms of what we can gather, and the
suspension period is limited to 5 to 20 articles of clothes every day. Clothing
weight is limited to 10kg, therefore having a big family may be beneficial in
resolving clothing issues. Furthermore, our idea aims to be acceptable for
everyone who lives in a multi-story structure. Motion sensors were used in the