Mehfuz has written a NativeScript plugin to interact with ODBII sensors. We will publish a proper post in the NativeScript.org blog but, in a nutshell, it uses the BLE APIs on an Android device to interact with an ODBII sensor like this one:
[I started this project back in November 2015. The project started nicely but never reached full speed and I didn’t find a natural time to write about it… until now]
In Fall 2015 I discovered Placemeter [Washington Post, TechCrunch, WebSite], a startup in NYC that used Computer Vision to track pedestrian and vehicular traffic. At that point our local neighborhood was seeing a lot of car cross-through traffic, so I started a project: use Placemeter services to track traffic in several key locations in the neighborhood, correlate the traffic to infer flow, and then use this to have a more educated conversation with our city council.
Placemeter has two different operating modes. In both modes different areas of the field of vision are marked for analysis, either as a turnstile, to track objects going through it, in both directions, or as a polygon, to track objects going in and out of the area delimited by the polygon. Placemeter applies CV algorithms to count the objects, to do object classification (pedestrians, cars, trucks, bicycles), and to do speed analysis.
Last Friday was the Capstone Festival for Fall 2016 at CSUMB and our team delivered Linkality, a Cross-Platform (iTunes App Store and Google Play) App for visitors to the Capstone Festival that leverages data from iBeacons and RFID sensors.
This is a running post on the Capstone Projects that I have mentored at CSUMB.