A Framework for Insight Finder by Object Detection Mechanism

Sachin Saxena, S. Neogi
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Abstract

The basic design principle of insight finder includes Arduino as a microcontroller device, Pixy2 CMUCam5 for object detection and other different sensors used for finding paths. As a result, insight finder (IFBot) rover had been produced to find a suitable path between different types and colors of objects. This device can remember different color object signatures and objects at the same time, also have capabilities of handling 60 frames per second at super-fast processing and can process synchronous serial data for communication within short distance. Pixy2 has been used in IFBot Rover system as a color object sensor for object detection. The other hardware devices used to design IFBot are ultrasonic sensors, IR Sensors, Motor Drivers, gear motors. By adopting a simple wall following, line following and barcode reading algorithm, the device can detect object and path. Pixy Mon application software can produce high accuracy data with relatively high speed. The discussion in the result shows that the design of IFBot model can be further upgraded to perform better in terms of speed and accuracy.
基于目标检测机制的Insight Finder框架
insight finder的基本设计原理包括Arduino作为微控制器器件,Pixy2 CMUCam5用于对象检测,以及其他用于寻找路径的不同传感器。因此,insight finder (IFBot)探测车被制造出来,在不同类型和颜色的物体之间寻找合适的路径。该设备可以同时记忆不同颜色的物体特征和物体,还具有每秒60帧的超高速处理能力,并可以处理同步串行数据,用于短距离通信。Pixy2在IFBot Rover系统中作为彩色目标传感器进行目标检测。用于设计IFBot的其他硬件设备有超声波传感器,红外传感器,电机驱动器,齿轮电机。该装置采用简单的逐墙、逐行和条码读取算法,实现对物体和路径的检测。Pixy Mon应用软件能够以较高的速度生成精度较高的数据。结果的讨论表明,IFBot模型的设计可以进一步升级,在速度和精度方面表现得更好。
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