Data In Motion

FLiP-Pi-BreakoutGarden FLiP-Py The easy way to build Python streaming applications from the edge to cloud. Code :   https://github.com/tspannhw/FLiP-Pi-BreakoutGarden Gear / Hardware Raspberry Pi 3 Model B Rev 1.2, Bullseye Raspian, armv71 Pimoroni Breakout Garden Hat 1.12" Mono OLED Breakout 128x128 White/Black Screen BME680 Air Quality, Temperature, Pressure, Humidity Sensor LWM303D 6D0F Motion Sensor (X, Y, Z Axes) BH1745 Luminance and Color Sensor LTR-559 Light and Proximity Sensor 0.01 lux to 64,000 lux VL53L1X Time of Flight (TOF) Sensor Software / Libraries Python 3.9 Pulsar Python Client 2.10 (avro) pip3 install pulsar-client[avro] Python Breakout Garden Python PSUTIL  https://pypi.org/project/psutil/ Python LUMA OLED pip3 install --upgrade luma.oled Libraries sudo apt-get install python3 python3-pip python3-pil libjpeg-dev zlib1g-dev libfreetype6-dev liblcms2-dev libopenjp2-7 libtiff5 -y StreamOps bin/pulsar-admin topics create "persistent://public/default/pi-sensors

Cloudera Edge Management 1.1.1 Release See :    https://docs.cloudera.com/cem/1.1.0/index.html https://docs.cloudera.com/cem/1.1.0/using-cem/topics/cem-deployment-monitor.html We can now integrate with Grafana and use Prometheus Metrics: https://docs.cloudera.com/cem/1.1.0/using-cem/topics/cem-monitoring-grafana-dashboard.html

Google Coral TPU with Edge Devices and MiNiFi  Designing Our Edge AI Flow with Cloudera Edge Flow Manager. Configure Your Remote Process Group to Send Data to Your NiFi Cluster Monitor Your Agents From the Events Screen Let's grab all the new images and then delete on completion We have Input and Output Ports to have Bidirectional communication with 0-n MiNiFi agents Our NiFi flow to process calls from MiNiFi Agents running Coral TPUs We run a query to check the TensorFlow Lite classification results and send out a slack message. Let's push JSON data to a Kafka Cluster in AWS

EFM Series:   Using MiNiFi Agents on Raspberry Pi 4 with Intel Movidius Neural Compute Stick 2, Apache NiFi and AI The good news is Raspberry Pi 4 can run MiNiFi Java Agents, Intel Movidius Neural Compute Stick 2 and AI libraries.   You can now use this 4GB of RAM device to run IoT with AI on the edge. Flow From MiNiFi Agent Running OpenVino, SysLog Tail and Grabbing WebCam Images Configure The Execution of OpenVino Python Applications on RPI 4 Events Returning from Raspberry Pi 4 Models Used Download model using downloader. Github https://github.com/tspannhw/minifi-rpi4-ncc2 DATE=$(date +"%Y-%m-%d_%H%M") fswebcam -q -r 1280x720 --no-banner /opt/demo/images/$DATE.jpg python3 /opt/intel/openvino/build/test.py /opt/demo/images/$DATE.jpg Software Apache NiFi Apache NiFi - MiNiFi Agents TensorFlow OpenVino Python 3 FSWEBCAM OpenCV DNN PSUTIL Python Libraries pip3 install getmac pip3 install psutil pip3 install --u