FYP1_WEEK4 (LITERATURE REVIEW ON HARDWARE RESULT DISCUSSION)

 In week 4, I and Dr. Aizat had conducted another meeting to continue my presentation on my findings regarding the hardware used in previous research. 

The result of my finding had been presented to Dr. Aizat is:

1) Raspberry Pi 4

Raspberry Pi 4 Model B is the latest product in the popular Raspberry Pi range of computers. It offers ground-breaking increases in processor speed, multimedia performance, memory, and connectivity compared to the prior-generation Raspberry Pi 3 Model B+, while retaining backwards compatibility and similar power consumption. For the end user, Raspberry Pi 4 Model B provides desktop performance comparable to entry-level x86 PC systems.

2) ESP32-CAM

ESP32-CAM is a low-cost ESP32-based development board with onboard camera, small in size. It is an ideal solution for IoT application, prototypes constructions and DIY projects. The board integrates Wi-Fi, traditional Bluetooth and low power BLE , with 2 high performance 32-bit LX6 CPUs. It adopts 7-stage pipeline architecture, on-chip sensor, Hall sensor, temperature sensor and so on, and its main frequency adjustment ranges from 80MHz to 240MHz. Fully compliant with WiFi 802.11b/g/n/e/i and Bluetooth 4.2 standards, it can be used as a master mode to build an independent network controller, or as a slave to other host MCUs to add networking capabilities to existing devices 

3) OpenMV Cam H7

The OpenMV Cam is a small, low power, microcontroller board which allows you to easily implement applications using machine vision in the real-world. The Plus variation adds 32 MB of external 32-bit SDRAM and 32 MB of external quad SPI flash. You program the OpenMV Cam in high level Python scripts (courtesy of the MicroPython Operating System) instead of C/C++. The OpenMV Cam H7 R2 comes with a MT9M114 image sensor is capable of taking 2592x1944 (5MP) images. Most simple algorithms will run between 25-50 FPS on QVGA (320x240) resolutions and below.

After presenting the results, Dr. Aizat advised me to carefully select the hardware since the prices of the single board computer are high due to economic crisis in the chip manufacturing industry. Therefore, for hardware he suggested me to use cheaper solution for the hardware of my project.