Low Cost Embedded Vision System For Location And Tracking Of A Color Object
Diego Ayala, Danilo Chavez, Leopoldo Altamirano Robles

TL;DR
This paper presents a low-cost, embedded vision system using a 32-bit microprocessor for real-time detection, location, and tracking of color objects, suitable for applications requiring compact and energy-efficient artificial vision solutions.
Contribution
It introduces a compact, low-power embedded system that performs color object detection and tracking using a single microprocessor, emphasizing reduced size, cost, and power consumption.
Findings
Successful detection and tracking of color objects
Reduced size and power consumption achieved
System operates in real-time
Abstract
This paper describes the development of an embedded vision system for detection, location, and tracking of a color object; it makes use of a single 32-bit microprocessor to acquire image data, process, and perform actions according to the interpreted data. The system is intended for applications that need to make use of artificial vision for detection, location and tracking of a color object and its objective is to have achieve at reduced terms of size, power consumption, and cost.
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