Various technologies have been utilized today for recognizing client or user in the indoor areas. These technologies incorporate RSSI, Bluetooth Low Energy Beacons, Ultrasound waves, Vision-based advances, for example, fixed camera recordings QR codes, remote gadgets, etc. RSSI fingerprinting technique requires more effort and it is also expensive to be used for indoor localization frameworks working in real-time. In this research, indoor localization based on images is investigated as an option in contrast to other indoor positioning techniques using these days. Image-based indoor positioning is more affordable than RSSI based technologies being utilized. A mobile phone camera is utilized to take the pictures of area inside the building to find the user inside the building. Sensor data from various sensors isn’t required or no extra framework is required to find the client in the building utilizing indoor positioning based on an image. Microsoft Azure Custom Vision Services are utilized to locate the client; MS Azure classifies the pictures in one of the labels made. Strategy’s attainability is demonstrated by various investigations and accomplished accuracy and review is recorded above 90%. The average precision of the trained model is recorded above 95%.

如今，已利用各种技术来识别室内区域中的客户或用户。这些技术结合了RSSI，蓝牙低功耗信标，超声波，基于视觉的技术进步，例如固定的摄像机记录QR码，远程小工具等。RSSI指纹技术需要更多的精力，并且用于室内本地化框架也很昂贵实时工作。在这项研究中，与目前使用的其他室内定位技术相比，将基于图像的室内定位作为一种选择进行了研究。与基于RSSI的技术相比，基于图像的室内定位更加经济实惠。利用移动电话摄像机拍摄建筑物内部区域的照片，以找到建筑物内部的用户。不需要来自各种传感器的传感器数据，也不需要额外的框架即可利用基于图像的室内定位在建筑物中找到客户。Microsoft Azure自定义视觉服务用于查找客户端；MS Azure将图片分类为其中一个标签。通过各种调查证明了策略的可实现性，完成的准确性和复查记录在90％以上。训练模型的平均精度记录在95％以上。