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With the emergence of onboard vision processing for areas such as the internet of things (IoT), edge computing and autonomous robots, there is increasing demand for computationally efficient convolutional neural network (CNN) models to perform real-time object detection on resource constraints hardware devices. Tiny-YOLO is generally considered as one of the faster object detectors for low-end devices and is the basis for our work. Our experiments on this network have shown that Tiny-YOLO can achieve 0.14 frames per second (FPS) on the Raspberry Pi 3 B, which is too slow for soccer playing autonomous humanoid robots detecting goal and ball objects. In this paper we propose an adaptation to the YOLO CNN model named xYOLO, that can achieve object detection at a speed of 9.66 FPS on the Raspberry Pi 3 B. This is achieved by trading an acceptable amount of accuracy, making the network approximately 70 times faster than Tiny-YOLO. Greater inference speed-ups were also achieved on a desktop CPU and GPU. Additionally we contribute an annotated Darknet dataset for goal and ball detection.

This research investigates. Data were collected from 100 respondents from 30 organizations by using simple random technique. A structural questionnaire was developed to get reliability of the Data. Data were analyzed by using SPSS-18 version. It was revealed that SMEs are the major source of foreign exchange earnings, SMEs have a major contribution in Pakistan's GDP, A known feature of SME sector is its ability to create jobs, SMEs maintain the poverty alleviation activities through creating employment, SMEs assist in fostering a self-help and entrepreneurial culture, SMEs boost up an entrepreneurial strength which puts forward flexibility in the economy, SMEs are more capable in resource allocation as compared to large scale industries, SMEs in general consider employees as their most important resources, SMEs are pioneer in developing new products and services and finally SMEs are in general very quality minded in the products and services they provide.

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