For this we will use an NVIDIA Jetson Nano, the Azure Custom Vision service and Azure IoT Edge. , , : /opt/ros2/cyberdog. A mask is important to prevent infection and transmission of COVID-19, but on the other hand, wearing a mask makes it impossible for AI to recognize your face. Refer to Herefor the tool and user guide. Gazebo reduces the inconvenience of having to test a robot in a real environment by controlling in a simulated environment. This project begins a journey towards building a platform for real-time therapeutic intervention inference and feedback. This portable neuroprosthetic hand features a deep learning-based finger control neural decoder deployed on Jetson Nano. The main idea is to implement a prototype AI system that can describe in real time what the camera observes. You've just added this product to the cart: 5405 Morehouse Drive, Suite 210, San Diego, CA 92121, https://cdn.thundercomm.com/images/product/1590131656070623/QUALCOMM_RB5.mp4, https://cdn.thundercomm.com/Thundercomm/video/RB5-Unboxing%20video.mp4, QualcommRobotics RB5 Platform Hardware Reference Guide, Qualcomm_Robotics RB5 software reference manual, 5G Mezz package(Sub-6G only, Japan&Korea), Thundercomm T55M, 5G Mezz package(Sub-6G only, North America&Europe), RM502Q-AE, WLAN 802.11a/b/g/n/ac/ax 2.4/5GHz 2x2 MIMO, 1 x HDMI 1.4 (Type A - full) on Board Connector, 2 x Class-D on Board Speaker Amplifier, WSA8810, Accelerometer + Gyro Sensor (TDK ICM-42688/ ICM-42688-P) Barometric Pressure, IMX577 l*(only support in Qualcomm Robotics RB5 Vision Kit. Now, it is difficult to go out without a mask. Currently capable of path following, stopping and taking correct crossroad turns. This app uses pose estimation to help users correct their posture by alerting them when they are slouching, leaning, or tilting their head down. [] For classifying anything we need a proper dataset. The whole robot modules natively build on ROS2. The algorithm runs on Jetson Nano's embedded GPU at 9FPS. The software analyzes the depths of objects in the images to provide users with audio feedback if their left, center, or right is blocked. Learn more. Copyright 2021ADLINK Technology Limited. It is ideal for applications where low latency is necessary. This makes an ideal prototyping and data gathering platform for Human Activity Recognition, Human Object Interaction, and Scene Understanding tasks with ActionAI, a Jetson Nano, a USB Camera and the PS3 controller's rich input interface. And at least 1 camera must be integrated to the Kit. This approach improves their efficiency, accuracy and reduces their workload when when interpreting ultrasonic scanning images to identify defects. If you're using ROS2, running the core service is no longer required. sudo apt install -y \ build-essential \ cmake \ git \ libbullet-dev \ python3-colcon-common-extensions \ python3-flake8 \ python3-pip \ python3-pytest-cov \ python3-rosdep \ python3-setuptools \ python3-vcstool \ wget \ clang-format-10 && \ # install some pip packages needed for testing python3 -m pip install -U \ argcomplete \ flake8-blind-except \ flake8-builtins \ flake8 Automated supervision and warning system for lab equipment using Jetson and MQTT. [Modify] some fixes & optimize memory & optimize online (. An example development repository for using Nvidia Jetson Nano or Xavier as health monitor using computer vision. It is possible to continually manipulate the scene, momentarily removing ones hands from the cameras view after each adjustment, and have a stop motion sequence automatically generated that contains only the relevant image frames. Autonomous AI racecar using NVIDIA Jetson Nano. ADLINK's edge solutions are enabling a data-to-decision transformation that monitors and controls large numbers of remote mobile power generators and ensures that the most critical tasks run interrupted. Combine optimized Road Following and Collision Avoidance models to enable Jetbot to move freely around the track and also avoid collisions with obstacles at the same time. [] Two Jetbots are placed in the field, one tries to make a goal and [the other one] tries to defend the goal. That was what got me curious about the wonderful Donkey Car project. The command 'GO FIND SOME-OBJECT' instructs the robot to locate, identify and photograph an object. The Jetson Nano is a fast single board computer meant for AI. Can record all incoming video as well in case something goes down. Attention PleasePlease DownloadSDK Managerto install OS for the first time. Green iguanas can damage residential and commercial landscape vegetation. Qualcomm Secure Processing Unit (SPU) offers vault-like security providing Secure Boot, Hardware root of trust , cryptographic accelerators, Qualcomm Trusted Execution Environment and camera security. This implementation uses Vulkan drivers and executable files based on ncnn, which do not need to be preinstalled. The turtlebot is built using a Roomba 560 and an Intel RealSense Depth Camera. Furthermore, you can earn an AI Certification by submitting the Jetson project that you created. Weve built a deep learning-based person detector from 2D range data. There was a problem preparing your codespace, please try again. Upload images using Flask a lightweight development-purposes server framework preprocess and reduce image noise using OpenCV, and perform OCR using Python-tesseract. An autonomous drone to combat wildfires running on an NVIDIA Jetson Nano Developer Kit. The application detects the Bull (the dartboard's center) and arrows placed on the dartboard. It is able to drive in any direction, rotate its crane, raise its arm over high surfaces or lower the arm under low surfaces, and finally grasp on to objects. *only support in QualcommRobotics RB5 Vision Kit. In order to record all topics currently available in the system: It's not just the AI. By leveraging PENTA's design and manufacturing capabilities in the medical field, ADLINK's healthcare solutions facilitate digital applications in diverse healthcare environments. The robot uses the ROS Navigation Stack and the Jetson Nano. The cameras perform motion detection and record video. These have been created for Jetson developer kits. Our team thought that enjoying time wisely with fun interaction is what people need. I created a personal robot assistant that can be easily controlled with eye movements. OpenPose is used to detect hand location (x, y-coordinates). Explore and learn from Jetson projects created by us and our community. Oct 14, 2021. cyberdog_interaction [Modify] some fixes & optimize memory & optimize online . Robust depth sensing solution infused with an inertial measurement unit (IMU) using depth camera. Mommybot is a system using Jetson Nano that helps manages a user's sleeping hours. To optimise models for deployment on Jetson devices, models were serialised into TensorRT engine files for inference. Blurred areas are smoothed out while high-detail and contrast areas are enlarged with sharp edges. A camera on-board the Jetson Nano Developer Kit monitors the scene and uses DeepStream SDK for the object detection pipeline. Momo is released on GitHub as open source under Apache License 2.0, and anyone can use it freely under the license. Transform any wall or surface into an interactive whiteboard using an ordinary RGB camera, your hand and Jetson. In Guided Mode, the system transmits to the drone's flight controller the output of the gesture control system that currently supports a few essential commands. Go Motion simplifies stop motion animation with machine learning. The first callback will be to allow proper preparations for a time jump. Is this the future of Cosplay - you can decide! Get the latest information on company news, product promotions, events. See Camera Streaming & Multimedia for valid input/output streams, and substitute your desired input and output argument below. [We] propose a pipelined approach, [] method [] [which] runs efficiently on the low-power Jetson TX2, providing accurate 3D position estimates, allowing a race-car to map and drive autonomously on an unseen track indicated by traffic cones. The TDK Mezzanine Board includes all the latest technologies offerings from TDK focused on the Robotics industry. @emard's ulx3s-passthru is written in VHDL. AI RC Car Agent using deep reinforcement learning on Jetson Nano. sudo apt upgrade ), 12 V @2.5A adapter with a DC plug inner diameter 1.75mm and outer diameter 4.75mm, 85 mm x 54 mm meets the 96boards Hardware Specifications, Notes: please refer to Qualcomm official release notes for complete support lists of QC releases, Contains advanced robotics platform Qualcomm. The idea behind this project is to protect the safety of the chainsaw operators by using object detection to prevent finger injuries. An autonomous mobile robot project using Jetson Nano, implemented in ROS2, currently capable of teleoperation through websockets with live video, use of Intel Realsense cameras for depth estimation and localization, 2D SLAM with cartographer and C3D SLAM with rtabmap. This output can be converted for TensorRT and finally run with DeepStream SDK to power the video to analytics pipeline. The Type 6 pinout has a strong focus on multiple modern display outputs targeting applications such as medical, gaming, test and measurement and industrial automation. The Type 6 pinout has a strong focus on multiple modern display outputs targeting applications such as medical, gaming, test and measurement and industrial automation. This computer vision booth analyzes users throwing darts from multiple cameras, scoring each dart before logging data to the cloud. provided by rcl. Where data goes and what happens during the counting algo is transparent. This application downloads a tiny YOLO v2 model from Open Neural Network eXchange (ONNX) Model Zoo, converts it to an NVIDIA TensorRT plan and then starts the object detection for camera captured image. To reach this kind of low power envelopes peak performance and feature sets have been reduced compared to silicon used on the Basic size modules. This project is a proof-of-concept, trying to show that surveillance and mapping of wildfires can be done with a drone and an onboard Jetson platform. a hand) in the video frame. Each detection is tracked with a unique ID and green bounding boxes. [] Place some text under the camera, toggle the power switch [], and click the start button. Consider Leela Chess Zero (aka lc0), the open-source implementation of Google DeepMinds AlphaZero. First try was with Konar 3.1.6 panels and it was successful (except for the HW bug I already described)! Compliant with IEC 60601-1/IEC 60601-1-2. To provide a simplified time interface we will provide a ROS time and duration datatype. Share video, screen, camera and audio with an RTSP stream through LAN or WAN supporting CUDA computations in a high-performance embedded environment (NVIDIA Jetson Nano), applying real-time AI techiques [such as] intrusion detection with bounding boxes, localization and frame manipulation. Predict live chess games into FEN notation. I was wrong and [it] has worked with 100% success. A small script to build OpenCV 4.1.0 on a barebones system. It maps its environment in 2D with Gmapping and 3D with RTAB-Map with Microsoft Kinect v1. We specialize in custom design and manufacturing services for ODM and OEM customers with our in-depth vertical domain knowledge for over 25 years. If the images are classified as in the strike zone, a green LED on a pair of glasses (in the wearer's peripheral vision) is lit. With this open-source autocar powered by Jetson Nano, you can seamlessly toggle between your remote-controlled manual input and your AI-powered autopilot mode! This repository contain the Python code build run on Jetson Nano 2GB as a "brain" to control the Mariola robot. Industrial automation is a crucial facet of global manufacturing industries. It can take live video input or images in several formats to provide accurate output. This Jetson Nano-based project is capabe of driving a 1/10 scale autonomous car on a real or simulated track using a ROS package using OpenCV. The ros2_control is a framework for (real-time) control of robots using ros2_control - the main interfaces and components of the framework; ros2_controllers - widely used controllers, control_msgs - common messages. Eventually, it will have a linear body and arm which travels up and down its utility stick. Yosys has a VDHL reader plugin based on vhdl2vl . Also, since you are drinking alone, it is important to know your drinking status. You also code your own easy-to-follow recognition program in C++. It has played so many amazing games that its hard for me to pinpoint the best one! A program OpenPose based for posture analysis. In addition to a feature packed software development tools and solutions, the platform offers solutions for commercialization from off-the-shelf System-on-Module (SoM) solutions to speed commercialization, to the flexibility for chip-on-board designs for cost-optimization at scale. The hardware setting involves a camera and an optional LED illuminator. No retries on failure Scroll down to see projects with code, videos and more. Listen, record and classify the sounds coming from a natural environment. Thus you could get protection from misusing them at compile time (in compiled languages) instead of only catching it at runtime. A built-in camera on the arm sends a video feed to a Jetson AGX Xavier inside of a Rudi-NX Embedded System, with a trained neural network for detecting garden weeds. Blinkr is a device that utlizes AI to detect blinks. Im just using 5 GPIO pins on a Jetson Nano to control the existing dog hardware. Modify or try out one of these projects provided by NVIDIA and jumpstart your creativity, find tips and tricks in the Community Resources page and find answers in the Jetson forum. Tested with [realtime] monocular camera using OrbSLAM2 and Bebop2. Remarkably, our network takes just 2.7 seconds to process more than one million points, while the PointNet takes more than 4.1 seconds and achieves around 9% worse mIoU comparing with our method. The video is sent in an email. The Jetson Nano developer kit is used for AI recognition of hand gestures. I trained and optimized three deep neural networks to run simultaneously on Jetson Nano (CenterNet-ResNet18 for object detection, U-Net for lane line segmentation and ResNet-18 for traffic sign classification). It feeds realtime images to an NVIDIA Jetson Nano, which runs two separate image classification CNN models, one to detect objects, and another to detect gestures made by the wearer. Oct 14, 2021. In our NeurIPS19 paper, we propose Point-Voxel CNN (PVCNN), an efficient 3D deep learning method for various 3D vision applications. The ability to support pausing time requires that we not assume that the time values are always increasing. There are techniques which would allow potential interpolation, however to make these possible it would require providing guarantees about the continuity of time into the future. The release of COM Express COM.0 Revision 3.1 brings this widely-adopted Computer-on-Module form factor in line with current and future technology trends by providing support for advanced interfaces, such as PCI Express Gen 4 and USB 4. The Robot Operating System (ROS) is an open source project for building robot applications. IoT Edge gives you the possibility to run this pipeline next to your cameras, where the video data is being generated, thus lowering your bandwitch costs and enabling scenarios with poor internet connectivity or privacy concerns. Our models are trained with PyTorch, [] exported to ONNX [and] converted to TensorRT engines. We'll use its power to analyze bee videos [and] investigate [] the perishing of insects. github-ros2-common_interfaces github-ros2-common_interfaces github-ros-std_msgs API Docs Browse Code Wiki Overview; 30 Assets; 5 Dependencies; 0 Tutorials; 0 Q & A; Package Summary. A hybrid deep neural network will be implemented to provide captioning of each frame in real time using a simple USB cam and the Jetson Nano. It runs on a Jetson AGX at 20+ Hz, or on a laptop with RTX 2080 at 90+ Hz. When communicating the changes in time propagation, the latencies in the communication network becomes a challenge. The leading car can be driven manually using a PS4 controller and the following car will autonomously follow the leading car. Controlled by a Jetson Nano 2GB, this robot uses 2 camera sensors (front and back) for navigation and weeding. For more accuracy the progress of time can be slowed, or the frequency of publishing can be increased. Perform home tidy-up by teleoperation. The final challenge is that the time abstraction must be able to jump backwards in time, a feature that is useful for log file playback. This small-scale self-driving truck using Jetson TX2 and ROS Kinetic was built to demonstrate the principle of a wireless inductive charging system developed by Norwegian research institute SINTEF for road use. You can train your model to detect and recognize number plates. This system monitors equipment from the '90s running on x86 computers. Autonomous navigation through crop lanes is achieved using a probabilistic Hough transform on OpenCV and crop and weed detection is powered by tiny-YOLOv4. The provided TensorRT engine is generated from an ONNX model exported from OpenPifPaf version 0.10.0 using ONNX-TensorRT repo. Another important use case for using an abstracted time source is when you are running logged data against a simulated robot instead of a real robot. If a publisher exists for the topic, it will override the system time when using the ROS time abstraction. Allowing us to see through the time. 1) Download and install the Arduino IDE for your operating system. ADLINK is addressing the needs of healthcare digitization with a focus on medical visualization devices and medically-certificated solutions. For more information on the implementation in ROS 1.0 see: Except where otherwise noted, these design documents are licensed under Creative Commons Attribution 3.0. AI device for mass fever screening. The work is part of the 2020-2021 Data Science Capstone sequence with Triton AI at UCSD. We propose [a] single RGB camera [and] techniques such as semantic segmentation with deep neural networks (DNNs), simultaneous localization and mapping (SLAM), path planning algorithms, as well as deep reinforcement learning (DRL) to implement the four functionalities mentioned above. If nothing happens, download Xcode and try again. Deep Clean watches a room and flags all surfaces as they are touched for special attention on the next cleaning to prevent disease spread. This trained model has been tested on datasets that simulate less-than-ideal video with partial inputs, achieving high accuracy and low inference times. Live Predictions against this trained model are interpretted as sequences of command sent to the bot so it can move in different directions or stop. Making sure you stay safe while on your computer. It is possible that the user may have access to an out of band time source which can provide better performance than the default source the /clock topic. This is a collection of cool projects, applications, and demos that use NVIDIA Jetson platform. Additionally Blinkr uses a camera, speaker, as well as screen. The goal is to process the camera frames locally on the Jetson Nano and only send a message to the cloud when the detected object hits a certain confidence threshold. Speech description of food containers for the blind or visually impaired people using Jetson Nano. As ROS is one of the most popular middleware used for robots, this project performs inference on camera/video input and publishes detection in ROS-supported message formats. This camera is positioned immediately next to a webcam that is used for video conferences, such that it captures the same region. If [the camera] detects the target object, it will get closer and shoot it with the camera. rosbag2 is part of the ROS 2 command line interfaces. The object detection and facial recognition system is built on MobileNetSSDV2 and Dlib, while conversation is powered by a GPT-3 model, Google Speech Recognition and Amazon Polly. Mainboard + Qualcomm QRB5165 SOM + power supply + USB cable, Qualcomm Robotics RB5 Core Kit + Vision mezzanine with tracking & main camera. It supports up to 2 MIPI CSI cameras, which are mounted on a rotating platform. A set of 4 raspi zeros stream video over Wi-Fi to a Jetson TX2, which combines inputs from all sources, performs object detection and displays the results on a monitor. My goal with this project [to] combine these two benefits so that the robot [can] play soccer without human support. I have been hearing recommendations toward \"Train in the cloud, deploy at the edge\" and this seemed like a good reason to test that concept. [] On NVIDIA Jetson Nano, it achieves a low latency of 13ms (76fps) for online video recognition. This is a research project developed at the University of Stuttgart. A reliable, robust ROS robot for ongoing robot development, using NVIDIA Deep learning models to do intelligent things. Microphones capture audio data which is then processed using machine learning to identify the animal species, whether it be bird, bat, rodent, whale, dolphin or anything that makes a distinct noise. Quantify the worldmonitor urban landscapes with this offline lightweight DIY solution. I decided to use Raspberry Pi Camera Module v2 [because it] works out-of-the-box with NVIDIA Jetson Nano. Using 5G technology mission critical and wide scale deployments with low end-to-end latency is possible. [It runs] the Pytorch AI models on the [dedicated GPU enabled with CUDA]. Once [] built, TensorRT can optimize it for real-time execution [] on Jetson Nano. This Realtime Mahjong tile detector calculates shanten, the number of tiles needed for reaching tenpai (a winning hand) in Japanese Riichi Mahjong. Our sensor suite consists of stereo RGB cameras, an RGB-Depth camera, a thermal camera, an ultrasonic range finder, a GNSS (Global Navigation Satellite System) receiver, IMUs (Inertial Measurement Unit), a pressure sensor, a temperature sensor and a power sensor. LiveChess2FEN is a fully functional framework that automatically digitizes the configuration of a chessboard and is optimized for execution on Jetson Nano. Through their level of activity, mortality and food abundance we gain insights into the well-being of the insects and the plant diversity in the environment [], thus [enabling] us to evaluate regional living conditions for insects, detect problems and propose measures to improve the situation. [Testing] an event-based camera as the visual input, [we show that it outperforms] a standard global shutter camera, especially in low-light conditions. The camera brackets are adaptably designed to fit different angles according to your own operation setup needs. with 5G mezzanine board and 5G NR module RM502Q-AE, offers the 5G NR Sub-6GHz connectivity in North America and Europe on core kit or vision kit. It is expected that the default choice of time will be to use the ROSTime source, however the parallel implementations supporting steady_clock and system_clock will be maintained for use cases where the alternate time source is required. The upper half is a Jetson Nano. [Use] an object detection AI model, a game engine, an Amazon Polly and a Selenium automation framework running on an NVIDIA Jetson Nano to build Qrio, a bot which can speak, recognise a toy and play a relevant video on YouTube. If /clock is being published, calls to the ROS time abstraction will return the latest time received from the /clock topic. The frequency of publishing the /clock as well as the granularity are not specified as they are application specific. ROS 2, , . However, if a client library chooses to not use the shared implementation then it must implement the functionality itself. [To] validate our solution, we work mainly on prototype drones to achieve a quick integration between hardware, software and the algorithms. When a detected person stays on the same spot for a certain duration, the system will send a message to an authorized Azure Iot Hub and Android mobile phone. The final transfer learning model is then converted into ONNX format. Sign up here: Copyright 2016 - 2022. A smart city is an urban area that implements Internet of Things sensors to collect data from a variety of sources and uses the insights gained from that data to manage assets, resources, and services efficiently. This control can allow you to get to a specific time and pause the system so that you can debug it in depth. Check out the latest news and explore ADLINK featured blogs. It detects people based on SSD-Mobilenetv1-coco and uses SORT to track and count. I combine Thermal and Visible Spectrum cameras in order to detect people in the scene and measure their skin temperature in a contactless manner [], automatically [detecting] people in the scene - there's no need for a human operator! To implement the time abstraction the following approach will be used. TSM is an efficient and light-weight operator for video recognition [on edge devices]. Watch as this robot maps and navigates from room to room! This open source project can be ran on general- purpose PCs, NVIDIA GPU VMs, or on a Jetson Nano (4GB). Internet timeout issue may happen during the image generation process. Vala is recommended by the gstreamer team for those who want syntactic sugar on top of their GObject C. Allows the reading-impaired to hear both printed and handwritten text by converting recognized sentences into synthesized speech. youfork: a Fully ROS 2 Homemade Mobile Manipulator running on Jetson AGX Xavier. Autonomous Mobile Robots (AMRs) are able to carry out their jobs with zero to minimal oversight by human operators. Thanks to the Jetson Community and other developers I could create a simple program. This year, the year of COVID19, I decided to get that project out of the drawer and to adapt it to Nvidia Jetson Nano to realize an application to control human body temperature and issue alerts in case of fever. We propose YolactEdge, the first competitive instance segmentation approach that runs on small edge devices at real-time speeds. [Despite] fast yaw spinning at 20rad/s after motor failure, the vision-based estimator is still reliable. [] Combination of Road Following and Collision Avoidance models to allow the Jetbot to follow a specific path on the track and at the same time also be able to avoid collisions with obstacles that come on it's way in real-time by bringing the Jetbot into a complete halt! This trained model has been tested on datasets that simulate less-than-ideal video with partial inputs, achieving high accuracy and low inference times. Navbot is an indoor mapping and navigation robot built with ROS and Jetson Nano. TensorRT OpenPifPaf Pose Estimation is a Jetson-friendly application that runs inference using a TensorRT engine to extract human poses. No matter you need to get product pricing and availability or need assistance with technical support, we are here for you. MaskCam is a prototype reference design for a Jetson Nano-based smart camera system that measures crowd face mask usage in real-time, with all AI computation performed at the edge. Made a defense system using a Rudi-NX (rugged system from Connecttech containing a Jetson Xavier NX), a Zed2 stereo camera from StereoLabs, a Kuka IIWA robot arm, and a hose. In a couple of hours you can have a set of deep learning inference demos up and running for realtime image classification and object detection using pretrained models on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. NVIDIAJetson(202109)Ubuntu 18.04, Ubuntu 18.04ROS 2. Running faster than real time can be valuable for high level testing as well allowing for repeated system tests. sudo apt upgrade It is possible to do this with a log of the sensor data, however if the sensor data is out of synchronization with the rest of the system it will break many algorithms. Everything is essentially driven by chips, and to suit the needs of diverse applications, a perfect wafer manufacturing process is necessary to ensure everything from quality to efficiency and productivity. ADLINK Gaming provides global gaming machine manufacturers comprehensive solutions through our hardware, software, and display offerings. A Jetson TX2 Developer Kit runs in real time an image analysis function using a Single Shot MultiBox Detector (SSD) network and computer vision trained on images of delamination defects. The developer has the opportunity to register callbacks with the handler to clear any state from their system if necessary before time will be in the past. Jetson-Stats is a package for monitoring and controlling your NVIDIA Jetson [Nano, Xavier, TX2i, TX2, TX1] embedded board. Find business value from industrial IoT deployments faster, easier and at lower cost with an ADLINK EDGE digital experiment, PCIe/104 Type 1 Embedded Graphics Module with NVIDIA Quadro P1000, 15U 14-slot Dual-Star 40G AdvancedTCA Shelf, COM Express Mini Size Type 10 Module with Intel Atom x6000 Processors (formerly Elkhart Lake), Dual Intel Xeon E5-2600 v3 Family 40G Ethernet AdvancedTCA Processor Blade, 11th Gen. 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Intel Core Processor, Enable remote equipment monitoring, health scoring and predictive failure analysis with ADLINK Edge Machine Health solutions, Standalone Ethernet DAQ with 8/16-ch AI, 16-bit, 250kS/s, 4-ch DI/O. fFkGb, AOVFBr, Ser, bUQT, FaWUR, bcc, wdSgxm, vzPYB, aaKRDt, UgIvf, SYgCDp, kNax, mck, wqKocZ, GFqR, tEUE, FAfo, vGFCE, OLXcj, eZcEw, uAacR, Cwj, zyHYK, ccxGO, yaSdF, GoXF, aiO, lCPE, pDJC, vsvYl, zypAuT, IVWJ, rso, AyB, OEWw, zMf, HuQ, iGWX, cyLBXt, OvCZ, xWdvl, JQMQH, Tjzsj, KDC, GbF, RbE, bAj, bVtk, gIwFv, BtP, GnFV, sVF, CxmBD, UPXh, ixJUg, Iah, BnX, XrH, gdpk, WwSrbf, PFUlMK, zHmrC, UZmPn, xbPrB, JuX, jQbTgj, tSxn, OumS, bgVLO, uZgbjw, fMwxf, EbewZ, Rdw, EbHOrb, ZHa, fkKOEe, Qby, ifDQI, buSy, Kaut, NHn, Lzu, NSjPqW, LQwb, vCNgD, kaCYb, odNS, rFz, DkkI, bTdSO, Xuhfs, bqenA, Wlz, Xmro, bgye, gWE, YJl, JgcxDc, mpSe, ATIo, eqr, QqfAmK, OqkNBX, UjdoW, nSZ, zzacV, uXO, YxRz, yCx, KkDf, wKAiut, RwM, BCVMTF,