Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics. The wide usage has attracted many scholars to integrate with many disciplines and fields. This paper provide a survey of the recent technologies and theoretical concept explaining the development of computer vision especially related to image processing using different areas of their field application. Computer vision helps scholars to analyze images and video to obtain necessary information,    understand information on events or descriptions, and scenic pattern. It used method of multi-range application domain with massive data analysis. This paper provides contribution of recent development on reviews related to computer vision, image processing, and their related studies. We categorized the computer vision mainstream into four group e.g., image processing, object recognition, and machine learning. We also provide brief explanation on the up-to-date information about the techniques and their performance.

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Providing good services and satisfaction to customer is main concern on online business. As technology is developed rapidly, many online restaurants has sought user-friendly platform to serve their customer. The purpose of this research is to build an Android-based online order application for online delivery restaurant. We added features of outlets distribution and product promos. We also developed a more user-friendly interface as new design. Through Waterfall development method, we design the application which based of android APP Inventor framework. Based on the assessment result of four aspect (e.g., software engineering defect, learning design, visual communication), we got average scores of 2.45, 3.40, 3.35 and 3.07. The assessment results showed that our application design is eligible to be implemented for real situation with fairly eligible score. It is recommended that the application is implemented with partial improvement especially on the software engineering debugging to get a more decent score.