LiDAR vehicles counting based on its classes using ML

we a project where were 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 recuiter
Member since Mar 14, 2020
Natra Yasodakri
from Tamil Nadu, India

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