offres

Develop state-of-the-art Data Science products

Automate your production processes with computer vision

Let's work together!

Why ?

Entrust the analysis of your documents, photos, or videos to Artificial Intelligence

Connected or not, in the cloud or in a complex industrial environment, the advancements in Computer Vision models in recent years, coupled with interconnectivity capabilities with industrial machines, offer new use cases that were previously impossible not long ago.

Developing descriptive, predictive, or prescriptive models will help you identify trends, reduce bottlenecks, improve product quality, and find growth opportunities for your company.

Contact-us
computer vision gif (2)

Challenges

Automate time-consuming tasks

Antoine.T

The expert

Antoine T.

Head of Data Science

Computer Vision enables the automation of tasks that were previously partially or entirely done manually. Today, quality inspection of products or production line inspection can be carried out by computer vision systems. This helps reduce errors, improve quality, or prevent industrial risks.

It can also aid in building new innovative products or services to help you compete against new entrants or enter new markets.

Computer Vision enables the automation of tasks that were previously partially or entirely done manually. Today, quality inspection of products or production line inspection can be carried out by computer vision systems. This helps reduce errors, improve quality, or prevent industrial risks.

It can also aid in building new innovative products or services to help you compete against new entrants or enter new markets.

Antoine.T

The expert

Antoine T.

Head of Data Science

Customized support

With our expertise in Data Science, we are committed to guiding you in the development of your Computer Vision solutions.

Our data experts will work hand in hand with yours to deploy and industrialize Computer Vision algorithms :

Our customizable support

2-developers-in-front-of-a-computer Dataengineers-talking

MVP Data Sciences

In order to automate your production processes, we perform the Minimum Viable Product (MVP) to allow you to quickly test the model in production

  • Data Collection :

    Define the challenge and scope of the use case, formalize the business needs.

    Analyze key performance indicators and technical feasibility.

    Create and analyze the dataset.

     

    Data ingestion preparation and definition of the target architecture.

  • Model development in an iterative manner


    Model training
    : gGenerate a new model based on a fixed dataset.Plan the frequency of model training to incorporate new data. Optimize the model in terms of resource consumption, response time, bias, and outliers.

    Model inference : Apply the model to a sample to obtain a prediction. Determine the frequency of prediction updates. Monitor performance: relevance of the results, comparison with reality and business indicators. Iterate this step with a baseline model and subsequent iterations.

2-developers-in-front-of-a-computer

Data Product Discovery

The data product discovery phase aims to mitigate risks related to value, business viability, usability, and technical feasibility of a data product in the most cost-effective manner possible.

This approach is based on hands-on experience to overcome client biases and focuses on the data product strategy by :

  • Utilizing a multidisciplinary team to address all risks.

  • Employing an iterative approach to deliver value from the first release.

Dataengineers-talking
Contact-us!
First pattern

They have automated their production processes using Computer Vision

Vignette étude de cas
Computer vision

Embedded visual recognition software solution.

Discover the business case
Vignette étude de cas  (14)
Computer Vision

Measure quality on production lines at a glance.

Discover the business case
Vignette étude de cas  (3)
Computer Vision

Automated billing for meal trays

Discover the business case

Recognized expertise in Computer Vision.

We are the organizers of Meetup Computer Vision Paris, which was founded in late 2017. Each season, the meetups provide an opportunity to discuss technical challenges related to Computer Vision that data scientists and decision-makers may encounter. The CV Meetup aims to address technical problem-solving topics, present state-of-the-art research, and delve into the various use cases enabled by Computer Vision.

Meetup_Logo

Meetup Computer Vision Paris

2900 Membres

A thesis in Few-Shot Learning. Theodo Data & AI welcomes Etienne, who is conducting his thesis on Few-Shot Learning as part of his doctorate at Centrale Supélec.

Etienne-min

Etienne B.

Doctor