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Particle Announces New Tracking System to Support IoT Deployments in Transportation & Logistics, Cold Chain, and Micromobility

SAN FRANCISCO, April 29, 2020 /PRNewswire/ — Particle, the edge-to-cloud IoT platform built to connect the unconnected, today announced its new Tracking System to provide organizations with the ability to track the locations of a wide variety of mobile assets with its powerful, configurable, extensible and field-ready solution. In a forthcoming study from Particle that surveyed over 1,000 IoT engineers and industry experts, Asset Tracking ranked as one of the top three most in-demand applications for IoT technology.

Built on the Particle platform spanning integrated Internet-of-Things (IoT) hardware, edge software, connectivity, and cloud-based management software, Particle’s Tracking System empowers customers to track the real-time location of critical assets and capture additional intelligence via sensor data including temperature and acceleration as well as remotely control mobile equipment and vehicles.

Asset Tracking operations are critical for both emerging and established industries, including supply chain & logistics providers, cold chain operations,

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JunshengFu/vehicle-detection: Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

Objective

A demo of Vehicle Detection System: a monocular camera is used for detecting vehicles.

(1) Highway Drive (with Lane Departure Warning) (Click to see the full video)

gif_demo1

(2) City Drive (Vehicle Detection only) (Click to see the full video)

gif_demo2


Code & Files

1. My project includes the following files


Others are the same as in the repository of Lane Departure Warning System:

  • calibration.py contains the script to calibrate camera and save the calibration results
  • lane.py contains the lane class
  • examples folder contains the sample images and videos

2. Dependencies & my environment

Anaconda is used for managing my dependencies.

  • You can use provided environment-gpu.yml to install the dependencies.
  • OpenCV3, Python3.5, tensorflow, CUDA8
  • OS: Ubuntu 16.04

3. How to run the code

(1) Download weights for YOLO

You can download the weight from here and save it to
the weights folder.

(2) If you want to run the demo,

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Vehicle Donation . Support | OPB


Turn Your Car Into a Great Idea!

VW Bus photo courtesy of Flickr user jhritz, licensed under CC2.

When you donate your used car (or truck, motorcycle, RV, boat, plane or other vehicle) to OPB we’ll turn the proceeds into ideas that engage, inform and entertain. OPB’s vehicle donation program handles all of the details at no charge to you, and your donation is tax deductible — just follow the steps below.

How do I donate my vehicle to OPB?

Contact the OPB Vehicle Donation Department at Speed’s Towing, our vehicle donation partner. They’ll arrange the pickup of your vehicle. Here’s how to reach them:

FAQs

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