Automotive
Deep Learning solutions that go the extra mile to increase utility and safety.
Get a demoWhy Loopr
A case for better implementation of AI solutions.
Easy to Use Platform
Works with teams and projects of all sizes
Industry-Specific Models
100+ models ready to be deployed across industries
Usecases
AI solutions that cover all bases from building a car to driving one.
Traffic Detection
Train the driving systems in order to detect people, vehicles and everything else that moves on the road.
Defect Reduction
Detect quality issues at earlier stages with even smaller and more complex parts and processes.
Manage False Positives
Add machine vision to existing rule based symptoms to test the rejected parts for false positives.
Preventive Maintainence
Identify parts of the machinery showing signs of wear and tear to automate preemptive servicing.
Case Studies
One of the world's biggest automotive companies needed help with their cyber security initiative.
The company's Industrial AI App Engine was facing difficulty in summarizing news articles on automotives, determining if there was an attack on the brand, and understanding the nature and seriousness of the same.
Built a platform to vectorize and cluster articles using neural network models and unsupervised clustering algorithms. Library Performed Naming, Entity tagging and grammatical relationship graphs were further used to extract top words and classify threats into categories.
7different threat categories identified
>80% accuracy achieved during the classification process
Other
Industries
See how Loopr's solutions are transforming a variety of industries
Manufacturing
Make your Industrial processes more intelligent and reliable using Loopr's Computer Vision models.
