AI – Machine Learning
Comprehensive machine learning solutions tailored to your business, from computer vision and NLP to the tooling that trains and serves the models.
Why should you choose us?
- Expert tailoring — customised solutions to fit unique business needs, ensuring optimal alignment with your goals and processes.
- Advanced technology — use of the latest tools and techniques to keep your operations at the forefront of innovation.
- Proven expertise — a team with extensive experience and a track record of success across various industries.
- Security focus — a security-first approach across all practices, to safeguard your data and processes.
- End-to-end support — comprehensive support covering every stage of the lifecycle, from planning to execution and maintenance.
Our Machine Learning Services
At Real Time Group we specialise in providing comprehensive machine learning solutions tailored to your unique business needs. Our services encompass a wide range of tools and platforms, so we can meet any challenge with a customised solution. Here is what we offer.
Real Time Group provides solutions using embedded Linux, and specialises in Linux user-space and kernel-space development. Over the past ten years our team has gained experience solving complex projects for the medical, aeronautics, automotive, IoT, 3D printer, CNC machine and agriculture industries.
After so many projects, the RTG team is prepared to conquer new fields and keep delivering end-to-end solutions across industries, developing an intuitive user experience for their products. Our team also specialises in a wide variety of tools such as Eclipse, Qt, the Yocto Project and OpenEmbedded for cross-platform development.
Alongside the development process we can also provide the systems and products in serial production, once the product has passed the required EMC and safety certification. By addressing industry innovation and industry prosperity as our core objectives, we are confident in the quality of our solutions and in the timeline we commit to.
Terraform
Define and provision the infrastructure your models train and serve on as code, so an environment can be rebuilt identically.
Docker
Package your applications with all their dependencies into a standardised unit for software development.
Kubernetes
Automate the deployment, scaling and management of containerised applications with the industry-standard orchestration platform.
Git
Manage your codebase efficiently, enabling collaboration, versioning and the tracking of changes.
Prometheus
Monitor your applications and infrastructure, providing real-time insights and alerts.
Grafana
Turn those metrics into dashboards the team actually watches, with alerting on the thresholds that matter.
Tailored services
Whatever your specific needs or challenges, our team is ready to provide a solution. If you need a service that is not listed here, just ask and we will make it happen.
Machine Learning Projects Examples
The Weapon Detector
Computer Vision
The main actor in this project is a Haar Cascade Classifier, trained to detect weapons. It requires two cameras and a powerful processor.
Optical Character Recognition
Computer Vision
The algorithm first analyses the picture using convolutional neural networks (CNN), then passes the resulting features to a recurrent neural network (RNN).
Real Time Face Detection
Computer Vision
Face detection on a specific picture or a real-time stream or video. Video capture is made using the open-source OpenCV library, which provides the necessary instruments.
Automatic Speech Recognition
NLP
Mel-frequency cepstrum coefficients (MFCC) are the most popular representation of the spectral properties of voice signals, since they account for human perception sensitivity with respect to frequency.
Image Segmentation
Computer Vision
Image segmentation is a field of deep learning in which the image is analysed in order to detect and classify the objects in it.
Automatic License Plate Recognition
Computer Vision
An ANPR project for correct detection of the license plate in an image or a real-time stream, where the algorithm detects a plate and recognises its characters.
Sentiment Analysis
NLP
A group of similar algorithms — built on the same logic, structure and steps — whose purpose is to analyse human feedback using a text classifier.
Automatic Tagging
NLP
A method of unsupervised classification of documents for discovering groups of items, or topics, which can be used for example to append a unique ID to the end of a destination URL.
Nerve Segmentation on Ultrasound Images
Computer Vision
An algorithm for detecting actual nerve connections in the image while avoiding the false nerve connections produced by noise in it.
Speech Emotion Recognition
Computer Vision / Machine Learning
Speech emotion recognition classifies human speech into a range of emotions. As usual, this kind of project requires the use of an RNN.
Toxic Comment Recognition
NLP
An algorithm for the detection of violent, insulting and obscene comments. It uses a prepared Wikipedia dataset with labelled toxic comments.
Similar Image Finder Project
Computer Vision
A complex algorithm for analysing a given image and finding similar ones, using an ImageDataGenerator from the TensorFlow Keras library together with CNN layers.
Chatbots
NLU / NLP
Chatbots are conversational interfaces for individual conversations with computer systems through messages, letting users write or say a message in human-understandable form and receive an answer in the same form.
Your future Project 🙂
Interested in collaborating with us? Looking for turnkey solutions? Need some help in development? We are here for you.
