Computer vision services for Startups|Image and Video recognition

Trusted by governments, leading telecoms and banks

Derive value with computer vision

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.

Speed up processes

AI can perform human tasks with an incredible speed reducing business costs.

Improve accuracy

Detect production issues or defects in manufacturing.

Increase civilian safety

Assess what activities a person is carrying out.

Computer vision services

Image Recognition

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.

Use cases:

Analysis of satellite, aerial/drone, remote sensing or hyperspectral imaging for land cover detection, environment conservation, livestock monitoring, urban or agricultural development
Medical diagnosis and prediction via x-ray, EKG and MRI imaging processing
Safety monitoring systems that analyse body scanner/metal detector imaging in correctional facilities to detect smuggling.

Object Detection

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.

Face Recognition

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

Moving from image to Video Analytics, we can leverage additional information to a series of images (frames in a video) by taking into account the features that are relevant across multiple frames.

Use cases:

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

Video Recognition

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

Object Tracking

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
Speed estimation

Case study: 15% faster object detection

The AI allowed us to process more power line images and increase accuracy

The AI implementation speeded up the procedure of object detection by 15%. It highlights insulators of the image made by drones and classifies whether it needs maintenance.

The detection became more accurate as the computer vision system allows finding on average 11 more defects per line kilometer.

Computer vision case study

Our latest projects

Illegal Ad detection for the Consumer Protection and Technical Regulatory Authority

As an agency of the Estonian government, the Consumer Protection and Technical Regulatory Authority employs our models to detect unlawful advertising in regulated categories like alcohol and tobacco.

Automatic fault detection for Hepta Airborne

Automatic fault detection in powerline insulators via processing of aerial inspection images was developed for Hepta Airborne. The machine learning service was implemented across all stages of the functionality development process, from data augmentation and creation to fault classification.

How we work

Mapping the problem

Working closely with your company, we will identify the key areas where AI can bring the most value. This involves meetings with all stakeholders and developing a roadmap for action together.

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Data exploration and proof of concept

We will evaluate if you have the business data needed to train relevant machine learning models. If required, we identify additional frameworks for data collection in your company.

Proposal for deliverables

Based on our meetings and data analysis, we’ll share with you the possible AI use cases for your company. We will work hand-in-hand to agree on the desired outcome.

Model development

We will build and apply various machine learning models to your business data, to find the best solution. As a result, we will develop algorithms that accomplish the desired goal

Application deployment

We integrate the machine learning model with an API or front-end product, making it user-friendly and accessible to the end-user.

Maintenance

Any system might require time to time maintenance, and we are happy to support our customers with that.

Frequently asked questions

Computer vision is a field of technology that focuses on teaching computers how to understand and interpret visual information, such as images and videos. Thanks to machine learning techniques, computers are now able to perform a wide range of data processing tasks with very little input or intervention from humans.

In general, if a decision or choice needs to be made based on visual medium features, if a human can do it, then a machine can do it. It just becomes a question of how much data is available for training and how much effort is required to build the models necessary to achieve the business goals.

Data collection is most often on the client side as it is connected to the peculiar business problem to be solved. We can help you with that, especially if it is a data source we have worked with before.

Labeling can be on the client side if very specific knowledge is required for labeling or it can be outsourced to a labeling company or us. Hybrid solutions are also available, and in all cases, we provide proper labeling training and guidelines tailored to the computer vision task.

If you imagine the process made up of iterations of the cycle: data collection, labeling, model development + training, testing & evaluation and deployment into the customer solution, usually the first 2 steps take 20-50% of the time (the smaller the project / standard problem, the higher the percentage) while the split between the latter 3 is really dependent of the novelty of the problem being solved, the required performance level and the complexity of deployment. The computer vision project range is from 3 months to multi-year collaborations.

During the project evaluation, we provide a feasibility assessment and, for problems in which we have experience, we can provide a more precise prediction at the level of the computer vision metrics and discuss the forecasted minimum level of performance.

Talk to an expert to

Evaluate your AI use case;
Determine whether computer vision should be used to solve your issue;
Find out how to improve the efficiency of data collection and labelling;
Learn about time and investment estimates.

Send us a request

Advanced Computer Vision Services for Startups