Computer vision involves developing algorithms to
enable machines to understand and interpret visual information
from the real world.
Innverse helps private and public computer vision leaders make better, more affordable, and more accessible for millions of people around the world.
There are lots of unknowns and risks when it comes to machine learning. And you might not always have enough talent in-house to successfully execute your AI project.
We delivered more than 100 custom AI solutions in 20 countries worldwide and developed the AI strategy for the Estonian government, so we have enough competence to support you.
Here at Innverse, we develop AI solutions focused on deriving valuable information from visual inputs like images and videos at a scale and speed impossible for humans.
Our experience in this domain allows us to provide our partners with solutions tailored to their specific datasets, scale and performance needs.our experience in this domain allows us to provide our partners with solutions tailored to their specific datasets, scale and performance needs.
Data Labelling involves adding tags or annotations for machine learning.
Data architecture designs the structure and flow of information systems.
AI strategy outlines plans for implementing artificial intelligence initiatives effectively.
Piloting involves testing small-scale implementations to assess feasibility and effectiveness.
Scaling refers to expanding and optimising systems or operations for growth.
Natural Language Processing, involves analysing and understanding language data.
Data collection entails gathering information for analysis, often from diverse sources.
App development involves creating software applications for various platforms and devices.
From validating ideas on the business side to creating a strategy that is based on them. Making sure everything is ready from the data side from quality, quantity, engineering and scalability.
We set up all the necessary MLOps infrastructure for initial pilots and scale successful pilots. Of course, we develop the actual AI models producing the desired output and the supporting applications to exploit the output of those models.
AI is accelerating into a mega-trend, transforming industries, companies and the way we live and work. Organizations that build a strong data & AI foundation will be better positioned to reinvent, compete and achieve new levels of performance.
Accenture helps companies move from AI interest to action to value, in a responsible way with clear business cases. We help companies get their data, people and processes ready for AI, with a secure, cloud-based digital core that allows for continuous reinvention and greater growth, efficiency and resilience.
Image recognition is tasked with detecting and identifying people, items, places, writing or otherwise specific features on an image. Vision data like pictures from different manufacturing steps in a production line, for instance, could be used to make real-time decisions based on real-time detections of any quality or process deviation in real-time.
Historical data could also be batch processed to gain insight on the current production procedure to seek continuous improvement.
AI-based natural language processing (NLP) solutions allow machines to perform We can provide vision systems that can be leveraged across multiple fields by leveraging different tools: in addition to the classification models described above, we can use Image Segmentation methods that are used to divide (segment) each image in multiple areas so that each pixel belongs to a known label.
Object detection adds localization to the former family of models by providing exact information regarding the position of multiple objects within the images. The application field for these models is extremely varied and includes, for example:
_ Detection of production issues or defects in manufacturing
_ Automation of visual inspections of equipment or buildings
_ Warehousing automation and inventory assessments
_ Characterising different production stages in the pharmaceutical industry
_ Crowd counting in public spaces as well as tools to guarantee that a minimum distance is respected when required
_ Workplace safety/PPE monitoring tools
Optical character recognition models convert images of typed, handwritten or printed text into machine-encoded text and are used for translation services, licence plate recognition and road-side signage information extraction.
Our services also include ad-hoc AI systems like Face Recognition models that match known pictures of individuals to new images even when partial occlusion or angle variations are present.
Using distinctive facial features like the distance between the eyes or the shape of the cheekbones, the algorithms produce a condensed representation of the detected face for easy comparison against a database.
Such capability can be used for:
_ access control to restricted areas
_ assist law enforcement in identifying criminals and missing persons, even among crowds
_identity validation in a purchase process
Video analytics involves the analysis of video content to extract valuable insights and information. It encompasses tasks such as object detection, activity recognition, and anomaly detection, using techniques like machine learning and computer vision algorithms to interpret visual data and enhance decision-making processes in various domains.
Video analytics leverages advanced algorithms to extract meaningful insights from video data, enabling applications such as surveillance, crowd monitoring, and behavioural analysis in diverse industries like security and retail.
Video inputs can provide supplementary information in subsequent images such as a new angle/view of an object or the evolution of a person’s motion. We can translate this extra data into a deeper knowledge and insight through video processing algorithms that are at the core of functionalities like:
_ Human Activity Recognition tools can be used to assess what activities a person is carrying out and are used in security systems, sport and health surveillance, medical and disability assistance, gaming and human-computer interaction, retail theft prevention.
_ Visual speech recognition
_ Facial and micro expressions recognition
Going further from video classification, Object tracking models leverage the change in object localization of the detected labels over different video frames enabling technologies like
_ Autonomous driving, which at its core consists of an “awareness” of the vehicle position compared to others and the road.
_ Gaze estimation to quantitatively measure human engagement and intention
Object tracking involves the continuous monitoring and tracing of objects in video streams over time. It enables applications such as surveillance, traffic monitoring, and sports analysis, facilitating the detection, classification, and trajectory prediction of moving objects in dynamic environments.
A conversational interface with its own voice, Annika takes calls from clients, listens to what they have to say, and directs them to the best course of action. This is done using multilingual speech recognition to translate speech to words, transformer based NLP models to understand the content of a customer’s sentence and non-autoregressive Transformer based text to speech models that provide Annika with her signature voice.
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Building a job search and career development platform requires quite a bit of data collection - user profiles, job descriptions, cover letters, etc. We designed a system that takes user provided documents - CV-s, cover letters, job and education descriptions, etc. - as input and, using transformer based language models, extracts the relevant information that fits the data model of the platform.
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The machine learning system learns from expert auditors and helps to detect potential tax fraud. This solution is deployed at the Estonian Tax and Customs Board of Estonia.
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Our system helps power line utilities to inspect their power grids with the help of drones to capture data and a specialized inspection platform called uBird to analyze it.
Read MoreThe Innverse team works with machine learning projects all the time, and has highly qualified specialists on board; thus, we can start implementing the project right away, not spending time learning how to be more efficient.
We already know who is good at what and who to include to efficiently deliver your project. This might mean including a specific person with a particular skill set for 1 day or 6 months.
Since our inception, we’ve successfully built a reputation of trust, reliability and of delivering exceptional services. We are progressively diversifying into new markets with our battle-hardened methodologies. Every day, we work to empower our customers to get the maximum out of technology.
We challenge, we innovate, and we continue to deepen our knowledge and expertise to realize the best value for our customers. We do this through a culture that cultivates a relationship-based approach to helping people and businesses be successful.
Why contact us?
Shaping the Future of Technology Your Gateway to Innovation and Excellence
65-E Sir Syed Town, FSD
+92 300 786 2325
info@innverse.io
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