Products
Smart Objects and e-learning to promote school inclusion
Mixed Reality & Augmented Intelligence for smart factory and smarter workers
Mixed Reality in Digital Dentistry
The next generation of Face Scanners
Machine Learning
From data analysis to optimization and automation
Both Forrester and Gartner project technologies like Machine Learning and Mixed Reality are among the sectors with the highest rates of growth and profitability over the next five years.
FifthIngenium takes care of the initial design, development and software setup, with several years of experience optimizing automotive and manufacturing fields, and constantly seeking to integrate with manufacturers of industrial machine and tools, robots, and other Workforce 4.0 processes.
opportunities
Human-machine interaction
ML balances between the need to automate workflow and enhance people’s skills.
Self-configuration and self-optimization
This intelligent system allows to control production, improving the workflow up to complete self-organization.
Integration with Mixed Reality
ML can be integrated with Mixed Reality for model evaluation on cloud, on device or on local network.
Smart processes and monitoring
ML open new possibilities to create value making processes more efficient and monitoring data streams in real-time.
Image
classification
Through ML you can detect production defects, identify people and objects using just a RGB camera.
Object recognition and human pose detection
Using ML you can track and detect objects and people movements in order to create real human-machine interaction experiences.
technologies
FifthIngenium develops Machine Learning solutions using the best dedicated hardware and software.
Intel Movidius
Hardware for high performance, with ultra-low power, perfect for on-device AI and ML applications. It is specifically designed to achieve more computation at lower power for computer vision and AI at the edge.
Azure Machine Learning
Cloud-based environment useful to train, deploy, automate, manage, and track ML models. Azure Machine Learning can be used for any kind of ML, from classical ML to deep learning, from supervised to unsupervised learning.
TensorFlow
It is an end-to-end open-source platform for ML and deep learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
We offer Machine Learning solutions for
Education
ML algorithms allow to analyze the student's behaviour and anomalies, with the possibility to change the course and study topics to fill in the gaps analyzed.
Industry 4.0
AI and ML are essential for automation, optimization and human-machine interaction, to get an intelligent system to control production.
Tourism
ML can improve engagement and marketing strategy, optimize and personalize bookings visits flow, and as well analyse visits through images recognition.
Healthcare
ML can boost the organizational set-up, automating administrative processes and improving the treatments quality with push messages or real-time assistance.
