Abstract
In summary, the automatic grass cutter helps the user to own an easy and convenient tool, eco-friendly, time and energy conserving, and less noise intensity. The problem of conventional method is that it introduces manual monitoring, time and energy consuming, dangerous, requirement of skill, burdensome towards the elderly, and one of the contributing factors towards pollution. Objectives that have been taken into account for this project are by cutting the grass that exceeds 3 centimeters, and applies infrared sensor as an automation for safety features to detect the presence of obstacles which then will change its direction. Moreover, automatic grass cutter are built-in with PIC16F877A, infrared comparator sensor, servo motor, L293D, DC motor and so on. Furthermore, the designation and implementation of automatic grass cutter does not run from problems which are solved with the uses of infrared comparator, pushbutton with toggle on/off button, installation of resistors, heat sink, relays to support a higher amount of current. Lastly, the machine produces desired objectives which cut the grass of more than 3 centimeters, and infrared sensor as safety mechanism.
Metadata
| Item Type: | Student Project |
|---|---|
| Creators: | Creators Email / ID Num. Mohammad Zamree, Muhammad Eizaz Afzal UNSPECIFIED Abu Harith, Mior Muhammad Zain UNSPECIFIED |
| Contributors: | Contribution Name Email / ID Num. Advisor Rosli, Anis Diyana UNSPECIFIED |
| Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Apparatus and materials T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Apparatus and materials > Detectors. Sensors. Sensor networks |
| Divisions: | Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus > Faculty of Electrical Engineering Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus |
| Programme: | Diploma In Electrical Engineering |
| Keywords: | Automatic, grass, cutter |
| Date: | October 2016 |
| URI: | https://ir.uitm.edu.my/id/eprint/123597 |
Download
123597.pdf
Download (91kB)
Digital Copy
Physical Copy
On Shelf
ID Number
123597
Indexing
