we a project where we're using Velodyne Lidar Puck-16 (Hi-Res),
The goal is to do vehicle counting based on its classes.
Thou output should be:
- Vehicles counting classes based
- counting to be sent to a database via an API in real-time
The candidate should be familiar with computer vision, Lidar, machine learning, DNN, and preferably writing code in Python.
This is the first step of a long-running project and a successful candidate will continue working on other tasks of similar nature in the future.
[Key requirements]
- Be able to classify vehicles in real-time
- Use of ML CNN or DNN
[The deliverables]
- Fully working software (preferably in Python) that classifies data from a sample .pcap file
- Source code
- Full documentation of the technical solution
About the recuiterMember since Mar 14, 2020 Shashank Sharma
from Missouri, United States