back to all cases

LeakDefend Tech Innovator (NDA)

Advancing Water Appliance Classification with Next-Gen AI

overview

BUSINESS NEEDS

VALUE DELIVERED

OUTCOME SUMMARY

TECH STACK

HIGHLIGHTS

overview

Customer:

LeakDefend Tech Innovator (NDA)

Industry:

AI, ML, Insurance

country:

UK

duration:

6 months

Experts from particles:

Senior Data Science Engineer

An industry leader in innovative technology solutions, the company specializes in developing cutting-edge technologies to tackle pressing issues such as water leaks. With a mission to prevent water waste and property damage, their groundbreaking solutions leverage advanced AI and ultrasonic technology to detect and prevent leaks, ensuring a more sustainable and secure future.

BUSINESS NEEDS

Develop a system for detecting water flow characteristics using ultrasound devices.

Improve water appliance classification accuracy based on user utilization.

Research anomaly detection for time series data.

VALUE DELIVERED

Implemented advanced neural network models for water appliance classification.

Conducted bug fixing and documentation of legacy code to enhance system stability.

Successfully deployed the model on AWS for seamless integration.

Conducted research on anomaly detection techniques for time series data.

Contributed to the improvement of water appliance classification accuracy.

outcome summary

The team observed improved water appliance classification accuracy. This advancement enhanced leak detection capabilities, contributing to property protection and water conservation efforts. The collaborative effort between the Customer and Particles Global laid a strong foundation for ongoing developments in leak prevention technology.

tech stack

Python

pandas

NumPy

SciPy

Matplotlib

TensorFlow

scikit-learn

Keras library

AWS Cloud

Convolutional neural network

Recurrent neural network

Highlights

BACK-END
Python
UK
AWS

Eager to collaborate with a Proven Tech Partner?

Book a call

Want to get a quick response?