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Transportation & Logistics

Transportation & Logistics

Increase logistics operations efficiency

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With Machine Learning, logistics operations can be optimized by:

predicting traffic and shipping volume by sophisticated traffic modeling
automatic visual inspection of cargo by Computer Vision algorithms
optimizing cargo load and route planning

Projects in Transportation & Logistics

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Legal Review of Rental Contracts

Different methods from the field of NLP helped us to create a software that spots errors in legal contracts

Monitoring Urban Growth and Change

An image segmentation algorithm that supports sustainable city planning

Extracting information from customer requests

In this project we created a model that when given a free form vet appointment reason can extract symptoms, diseases and requested services. This data can then be used by our client to improve scheduling and preparation.

Smart Access Control with Facial Recognition

We developed a multi-level security system with facial recognition for automatic access control.

Blog Posts in Transportation & Logistics

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Computer Vision

The best (Python) tools for remote sensing

By Emilius Richter August 2nd, 2022

I present the best (Python) tools for remote sensing and processing of satellite data, based on our practical experience with them at dida. For some I provide application examples including code.

Introductions

Project proposals - the first step to a successful ML project

By Emilius Richter July 18th, 2022

For a software provider, the project proposal is the first step toward meeting the needs of the customer. In this article, I will describe the most important modules in machine learning project proposals.

Projects

21 questions we ask our clients: Starting a successful ML project

By Emilius Richter May 21st, 2021

We discuss what questions should be considered and answered up front to launch a successful machine learning software project.

Introductions

Enhancing Search with Question Answering

By Angela Maennel April 26th, 2021

Here I show how open-domain question answering systems work and how they can enhance search engines. We will have closer look at one specific type of system, DrQA.

Theory & Algorithms

Machine Learning Approaches for Time Series

By Machine Learning Approaches for Time Series December 18th, 2019

This blog post provides an introduction into time series and serial sequences and shows how Recurrent Neural Networks (RNN) can deal with them.

Use Cases in Transportation & Logistics

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