Abstract-This article provides an advanced technique to detect objects in video streams in real time and calculate their distance.The system composed analysis and developments to perform a stream from the camera, like video stream, distance and objectdetection model, incoming data stream, data stream collection and report generation. The video stream from the camera isprocessed with GStream. The frames from the video stream are taken by OpenCV, YOLOV3 is trained by object detection anddistance model and developed by Python. Video streaming data trained with Kubeflow is published with Apache Spark and ApacheKafka. It uses HDFS used to store published data. It is used to query and analyse data in Hive, Impala, Hbase HDFS. After thatAnalytical reports are created. E-mail notifications can be created according to the data in the database using by Apache Oozie.Keywords—Computer Vision, Image Processing, Big Data, Stream, Detection