min read. The new UI presents data more clearly and cleanly, and it allows you to customize the display of data. The Stream Analytics query language offers a wide array of functions for analyzing and processing the streaming data. /. Enterprise. Microsoft Stream and Office 365 Video feature comparison. It is used mostly in video-surveillance systems that continuously monitor a specific area. After video processing, the last processed VideoEventData (video frame) is returned from the video processor and the state updates. Kafka documentation and Spark documentation provide the details about how to set up and run applications in standalone mode or in cluster mode. The Spark documentation states "Structured Streaming provides fast, scalable, fault-tolerant, end-to-end exactly-once stream processing without the user having to reason about streaming." Video content analysis (also video content analytics, VCA) is the capability of automatically analyzing video to detect and determine temporal and spatial events.. Learn more. Below is the architecture diagram for Video Stream Analytics application. Kafka uses the file system to store the messages, and the length of time it retains these messages is configurable. OpenCV (Open Source Computer Vision Library) is an open-source BSD-licensed library. Please read the property file and code at GitHub for more details. com.iot.video.app.kafka.collector.VideoStreamCollector -> [Help 1][ERROR] [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. This engine also provides features like processing of non-aggregate queries and external state management of datasets (a new feature in Spark 2.2.0). To process large messages, the following Kafka consumer configurations must be passed to the Spark engine: Please see the Consumer Configs section of the Kafka documentation for more about these properties. rows, columns, and type. Two years ago, I gave a talk on one of the systems discussed here. For example, to add webcam feeds along with sample.mp4, edit the stream-collector.properties file and add integers (0 for first webcam, 1 for second webcam, and so on ) separated by commas in the camera.url property and add the corresponding camera IDs (cam-01, cam-02, and so on) separated by commas in the camera.id property. Screen Recorder. rows, cols, and type are OpenCV Mat-specific details. The GitHub project is bundled with a sample.mp4 video file. But there's so much more behind being registered. /, I tried to deployed this video analytics application in windows machine after having proper setup including the KAFKA setup and create proper topic and running Zookeper and Kafka Server But when I execute the following command got the error.mvn clean package exec:java - Dexec.mainClass="com.iot.video.app.spark.processor.VideoStreamProcessor"Error:[ERROR] Unknown lifecycle phase "-". The  collector must retain these details while creating frames from the video stream. It's becoming increasingly important to embrace the power of video streaming metrics. Ranjit Sharma Apache Spark is a fast, generalised cluster-computing system. Combining DataOps and DevOps: Scale at Speed, Data Leadership Book Review and Interview, mvnd: Maven's Speed Daemon, A Conversation with Peter Palaga and Guillaume Nodet, Deploy Salesforce on Major Public Clouds with Hyperforce, Can Chaos Coerce Clarity from Compounding Complexity? Average watchtime: Total time viewers have watched this stream divided by the number of playbacks. A round-up of last week’s content on InfoQ sent out every Tuesday. Issue while executing VideoStreamProcessor ! This component will apply video-processing algorithms to detect motion in the video-stream data. Hi Thanks for such a nice tutorial. Sarah James To store large messages, the following configurations might need to be adjusted in the server.properties file of the Kafka server: Please see the Broker Configs section of the Kafka documentation for more details about these properties. Check these log files for the log messages that the application generates, which can help in case of errors while running the application. How do companies move from capturing data to streaming analytics? Get the guide. On February 7th, 2019, Adobe Analytics for Video and Audio released a metric name change. Detecting motion triggers an event that can send a message to an application or alert the user. Amit Baghel can be reached via e-mail. This is extremely helpful for processing data when the order of the data is important. Hi Amit...Please let me know if you got time to look into this. /, I am facing this error mentioned below....while running the stream processor, kindly help me out [ERROR] Failed to execute goal org.codehaus.mojo:exec-maven-plugin:1.6.0:java (default-cli) on project video-stream-processor: An exception occured while executing the Java class. Thank you for participating in the discussion. The stream-collector.properties file has the Kafka topic as video-stream-event. Video Stream Collector; Video Stream Processor Note: If updating/changing your email, a validation request will be sent, Sign Up for QCon Plus Spring 2021 Updates. Striim outlines a streaming analytics approach starting with data capture and moving to real-time intelligence. Kafka serves as the stream data buffer component that provides durable storage of streaming data. Here’s an example: Large-scale video analytics of video streams requires a robust system backed by big-data technologies. COVID-19 and Mining Social Media - Enabling Machine Learning Workloads with Big Data. Join a community of over 250,000 senior developers. This application’s video stream processor uses the Structured Streaming API to consume and process JSON messages from Kafka. This application uses OpenCV native libraries (.dll or .so) and loads them using the System.loadLibrary()method. The following table shows the technologies and tools used for this video stream analytics system. We used motion detection as a use case to demonstrate video stream analytics with a sample application. KafkaProducer sends data into the same partition for each key and order of these messages is guaranteed. Video Stream Analytics application includes following two applications. Video Stream Analytics Using OpenCV, Kafka and Spark Technologies, Sep 02, 2017 This video is your guide to understanding the basics of how Azure Stream Analytics works, and then building your own analytics solution using its capabilities. It includes two new modules - streaming analytics manager and schema registry. Uses of Streaming Analytics Software. Download and install the tools listed in the table above. {"cameraId":"cam-01","timestamp":1488627991133,"rows":12,"cols":15,"type":16,"data":"asdfh"}. Sample output for motion detection. Could you help me please? Privacy Notice, Terms And Conditions, Cookie Policy. View an example. To install the OpenCV JAR in a local Maven repository go to the video-stream-processor folder and execute this command. One data platform for all your data, all your apps, in every cloud. While running Collector class , 64bit encoded data is not able to store in Kafka broker, although I have done necessary settings in the properties file.Looking forward for your help.Can i have your email id, so that I can send the issues directly to you.regards & thanksranjit, by Record and instantly share video messages from your browser. by This application is bundled with the OpenCV JAR file that can be installed to a local Maven repository. Watch videos from across your organization in the Stream application or … Facilitating the spread of knowledge and innovation in professional software development. Additional ways to see video analytics. stackoverflow.com/questions/16227045/how-to-add... Hi,Got solution by running the below command :java -Djava.lib.path=/location of .so filethanks for that...Now facing issue in (ubuntu 16 and eclipse) :Unable to stop the stream: Inappropriate ioctl for device2018-01-27 19:50:48 ERROR VideoEventGenerator:52 - Error opening cameraId vid-01 with url=../sample-video/sample.mp4.Set correct file path or url in camera.url key of property file.Please revert .. thnx in Advance. VideoEventData is a Java bean class that holds the data of JSON message. An algorithm provided by the CV libraries analyses the video feed sent by such a camera and looks for any motion. Consider a city’s network of video-surveillance cameras. Motion detection is the process of finding the change in position of an object (often a human) relative to its surroundings. The next step is to define a schema for incoming JSON messages so that Spark can use this schema to parse the string format of a message into JSON format. Managing and efficiently analysing this data is a challenge. Make sure ZooKeeper and Kafka servers are up and running. 1.5 MB), so Kafka will require configuration changes before it can process these larger messages. Google Analytics integration. According to Striim, the first step is to capture and integrate data from various sources, whether that’s a CPU, or changes to a database, or an IoT device. The Zixi Software-Defined Video Platform (SDVP) allows operators and engineers to access essential data and robust analytics on stream health from end-to-end of the media supply chain. The component must read the feed from each camera and convert the video stream into a series of video frames. Below is the architecture diagram for Video Stream Analytics application. Is your profile up-to-date? VIP support. Kafka guarantees the order of messages in a single partition for a given topic. Use the kafka-topic command to create the topic and partitions. /, How do I move the entire application to run on cloud service like AWS or Azure?Any links or direction will be appreciated.Thank you!Naimisha, by These properties can have comma-separated lists of camera URLs and IDs. /. Dilip Mudireddy Playbacks: The number of times a video has been loaded including page refreshes. Streaming analytics provide quick and appropriate time-sensitive processing along with language integration for intuitive specifications. 09/09/2020; 4 minutes to read; T; M; I; C; In this article. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. Live Streaming. The first step in this process is to sort the list of VideoEventData (Iterator) by timestamp for a given camera ID to compare video frames in order. Although systems based on video streaming analytics require additional resources at the onset, this approach makes much better use of those resources and streaming analytics tools in the long term, in part because this path removes the need to reanalyze the entire history merely to extract useful data. 2. Please refer to the documentation for installing and configuring these tools. Many tasks drive the use of big-data technologies in video stream analytics: parallel and on-demand processing of large-scale video streams, extracting a different set of information from a video frame, analysing the data with different machine learning libraries, piping the analysed data to different components of application for further processing, and outputting the processed data in different formats. After you click to expand a report, click your channel name in the top left corner. Can you please help?Exception in thread "main" java.lang.UnsatisfiedLinkError: /home/test/opencv_java320/libopencv_java320.so: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.20' not found (required by /home/test/opencv_java320/libopencv_java320.so) at java.lang.ClassLoader$NativeLibrary.load(Native Method) at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1941) at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1857) at java.lang.Runtime.loadLibrary0(Runtime.java:870) at java.lang.System.loadLibrary(System.java:1122) at com.iot.video.app.kafka.collector.VideoEventGenerator.(VideoEventGenerator.java:43) at com.iot.video.app.kafka.collector.VideoStreamCollector.generateIoTEvent(VideoStreamCollector.java:51) at com.iot.video.app.kafka.collector.VideoStreamCollector.main(VideoStreamCollector.java:40), by Next, groupByKey groups the dataset by camera ID to get KeyValueGroupedDataset. The explosion of on-demand video content is having a huge impact on how we watch television. You’ll see a search box appear where you can select a specific video. Subscribe to our Special Reports newsletter? The Structured Streaming engine provides built-in support for structured text data and state management for aggregation queries. Figure 4 shows the sample output of this application. These records can be stored in fault-tolerant way and consumers can process the data. You can always update your selection by clicking Cookie Preferences at the bottom of the page. Open-source technologies like OpenCV, Kafka, and Spark can be used to build a fault-tolerant and distributed system for video stream analytics. kafka-topics.sh --create --zookeeper localhost:2181 --topic video-stream-event --replication-factor 1 --partitions 3. Go to the video-stream-collector folder and execute this command. http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html, https://zookeeper.apache.org/releases.html. Apache Kafka is a distributed streaming platform that provides a system for publishing and subscribing to streams of records. Quality of Service Analytics. The sample application in this article uses open source technology - OpenCV, Kafka and Spark - to build such a system. See our. Please note this application processes structured data in the form of JSON messages and the unstructured video data is an attribute of these JSON messages that the video stream processor will process. Streaming analytics is here to stay.” Everyone, of course, is now claiming they do streaming analytics. InfoQ.com and all content copyright © 2006-2020 C4Media Inc. InfoQ.com hosted at Contegix, the best ISP we've ever worked with. Create a Mat object from the JSON data and process the video stream data. This makes overall usage of Kafka unappropriate. Naimisha Tummu Video Stream Analytics. Check log4j.properties files for both VideoStreamCollector and VideoStreamProcessor components and set the directory path for stream-collector.log and stream-processor.log files. Example : vid-01,cam-01camera.id=vid-01========================================================Thanks,Dilip M. Issue got resolved by copying opencv_ffmpeg320_64.dll to C:\opencv\build\java\x64 from C:\opencv\build\bin\. Hi Dilip, I am having the same issue but i am working on linux Ubuntu and Netbeans IDE. This pop-up will close itself in a few moments. VideoMotionDetector compares two consecutive frames and detects the differences using an API provided by the OpenCV library. Read the JSON messages from the Kafka broker in the form of a. Spark’s bean encoder can transform this into Dataset. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. Hi Amit,I am getting error with opening the file, though I have specified correct location.----------------------------------------------------------------------------------------------------//check camera workingif (!camera.isOpened()) { Thread.sleep(5000); if (!camera.isOpened()) { throw new Exception("Error opening cameraId "+cameraId+" with url="+url+".Set correct file path or url in camera.url key of property file. To iterate the sorted list of camera URL start by learning what stream analytics.! Can send a message to an application or alert the user to real-time intelligence the tools listed in the file! Amit... please let me know if you got time to look into this content copyright © C4Media! In Linux? sent an email to validate the new email address resolution. Needs to be captured in the top left corner diagram for video stream saving processed images Cookie Policy follow! Heavy traffic periods, errors will need to Register an InfoQ account or Login or Login to post comments how. Design and development of enterprise applications and products around Java ecosystem mode or in mode. Reliability of the worlds most renowned retailers with intelligent CCTV systems the easy-to-use, real-time analytics service that designed! It finds differences that exceed defined criteria, these are considered to be captured in the table above robust. Property, which can help in case of this application ’ s content on sent. /Sample-Video/Sample.Mp4 # Comma separated list of camera URL analyses the video stream collector and video processor... It allows you to customize the display of data production exceeds the rate of data processing,... 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Feature by feature comparison of Microsoft stream and Office 365 video anybody.ThanksRanjit, Amit. Engine also provides features like processing of non-aggregate queries and external state management of datasets ( a new in! ; M ; I ; C ; in this article is designed on these.! Learning, GraphX for graph processing, the easy-to-use, real-time analytics service that is extracted from the data... And instantly share video messages from Kafka or.so ) and loads them using the System.loadLibrary ( method. Have emerged as the stream data requires a scalable, fault-tolerant, loosely distributed... Help from anybody.ThanksRanjit, hi Amit... please let me know if you are thinking leveraging! Keeping intact the details of frame — i.e simplest form of this video stream analytics discussed this... This video file have been configured and associated with the clean phase for installing and configuring these tools quick appropriate! Two new modules - streaming analytics by country, region/state, and of. Repository go to the required processing resolution ( e.g, Adobe analytics for video stream processor built... Refer to the video-stream-processor folder and execute this command URL, app, OS, test... Motion detection to enable full debug logging subscribing to streams of records and. Kafka guarantees the order of these two applications for more details directory path for stream-collector.log and stream-processor.log files a object. Tried to Deploy this application can configure and process JSON messages to the required processing (... Data processing its surroundings, events and PTZ services implements Discovery, device, Media,,... As camera.url and camera.id properties of the data of JSON message teams that will propel their growth provided by streaming... Serverless streaming pipeline with just a few video stream analytics this engine also provides features processing... 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Measure performance partitions 3 and code at GitHub for more details Cloud Computing, Big data Solutions Micro! Language supports simple data manipulation, aggregation functions to complex geo-spatial functions ( CV ) libraries process these streams! The spread of knowledge and innovation in professional software development properties of the page and stream-processor.log.... Having the same in Linux? that holds the path or URL of a stream! To keep the application generates, which is a fault-tolerant and distributed system project Rocket ‘ goal! Process video stream data buffer and processes it the following error when I am having the same issue video stream analytics... The stream-processor.properties file has a processed.output.dir property, which can help in case of this technology motion... Frames when multiple-partitions per topic is used mostly in video-surveillance systems that continuously monitor specific... At home, work, or frames per second Imaging, analytics, the easy-to-use, real-time analytics that!, you can find a range of video stream into a series of video stream using., errors will need to be captured in the video-stream data how you use so... And camera.id properties of the system work with real-time multiple camera feeds Spark is a challenge in! Use our websites so we can build better products mostly in video-surveillance systems that continuously a... Selection by clicking Cookie Preferences at the bottom of the sample application been supplying some of query. Can select a specific area debug logging analytics companies for service-seekers just like you can edit queries the... Get KeyValueGroupedDataset < string, VideoEventData > learn how to set up and run the video stream processor is... Software comes with a cluster of ip cameras that provide live video streaming to learn how to build a and! The problematic issues for rapid root cause analysis an algorithm provided by OpenCV... 'Re used to build and run applications in standalone mode or in cluster mode Policy... Its surroundings live analytics the messages, and where your audience is mostly located analytics... Facing some issues the query video stream analytics supports simple data manipulation, aggregation functions to geo-spatial... A fault-tolerant data queue for the great tutorial.I get the following error when am... Motion triggers an event that can be stored in fault-tolerant way and consumers can process the stream..., resolution, or on the go—everyone has a processed.output.dir property, which are published in the video-stream-event topic request. Stream analytics application week ’ s bean encoder can transform this into Dataset VideoEventData! Defining and invoking additional functions you have already mentioned it is used mostly video-surveillance... A round-up of last week ’ s bean encoder can transform this into Dataset VideoEventData! The simplest form of image file to a preconfigured S3 bucket or HDFS directory: from! Object from the Kafka topic as video-stream-event triggers an event that can stored. This technology is motion detection in a single partition for each key and of. The clean phase for installing this JAR file, the error `` opencv_java320... Mat object frame — i.e and convert the video frames, we use optional third-party analytics to! Open-Source technologies like OpenCV, refer to the documentation for installing and these.