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<About us>

FlexSight was established in 2019 as a startup that specializes
in computer vision for intelligent systems and robotics. The
company’s technology stems from research conducted in the
fields of Artificial Intelligence and Robotics. Its team
comprises youthful and skilled researchers and engineers who
strive to bridge the gap between state-of-the-art academic
research and the needs of the industry.

The <team>

20+ YEARS OF
EXPERIENCE IN
COMPUTER VISION
AND ROBOTICS

RESEARCH AND
TEACHING
ACTIVITIES
AT UNIPD

STRONG
RELATIONSHIP WITH
LARGE RESEARCH AND
INDUSTRIAL
NETWORKS:
@IAS-LAB,
@UNISMART AND
@CENTROCONSORZI

30+ RESEARCH
ARTICLES
ON

INTERNATIONAL
JOURNALS AND
CONFERENCES

Daniele Evangelista

CEO

Curriculum

Marco Imperoli

CTO

Curriculum

Irene Pagello

CFO

Curriculum

Elena Vizzini

Administrative Officer

Matteo Bonotto

Research Engineer

Curriculum

Alessandra Tonin

R&D Developer

Curriculum

Luigi Sarrocco

R&D Developer

Curriculum

Nicola Carlon

Co-founder

Curriculum

Alberto Pretto

Co-founder

Curriculum

FlexSight’s main business today is to create modular and
integrated 3D scanner solutions able to provide high-resolution
3D reconstructions with a high level of photorealism. The
company also focuses on providing consulting and support in R&D
projects for robotics, such as systems to support autonomous
driving or environmental perception and control through LiDAR
sensor networks or Cameras.

Our Network

Our Achievements

Recognitions and Strategic Partnerships

NVidia Inception

July 2023

FlexSight has been selected to join NVIDIA‘s Inception Program, an exclusive platform designed to accelerate AI startups and provide them with resources and dedicated training sessions to accelerate their business.
This achievement reflects the hard work and dedication of our incredible team, who have continually pushed the boundaries of innovation on 3D reconstruction and machine vision and demonstrated a strong commitment to advancing artificial intelligence.

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OVHcloud StartUp Program

July 2023

Our team has been selected to access the amazing program for startups managed by OVH one of the global leader providers of cloud and web services.
This partnership will be fundamental to speed up our software development in the field of 3D and AI.

UniSMART

March 2023

FlexSight is part of the huge academic and industrial network of UniSMART Fondazione Università di Padova. This reflects our commitment to developing high-level research for our partners by offering them our strong and internationally recognized academic background.

SMACT

March 2024

By 2024, FlexSight is part of the SMACT Competence Center, one of the 8 research and technological centers in Italy. Our company has been approved as a key technology provider for the computer vision and robotics sectors. This partnership demonstrates the high potential of our scientific and industrial capabilities, which will be available to all other companies in the network.

SCIENTIFIC RESEARCH ACTIVITY

Saviolo, A. et al. (2022). Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. In: Ang Jr, M.H., Asama, H., Lin, W., Foong, S. (eds) Intelligent Autonomous Systems 16. IAS 2021. Lecture Notes in Networks and Systems, vol 412. Springer, Cham.

 https://doi.org/10.1007/978-3-030-95892-3_52

Fusaro, D., Olivastri, E., Evangelista, D., Imperoli, M., Menegatti, E., Pretto, A. (2023). Pushing the Limits of Learning-Based Traversability Analysis for Autonomous Driving on CPU. In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham.

https://doi.org/10.1007/978-3-031-22216-0_36

D. Evangelista, M. Imperoli, E. Menegatti and A. Pretto, “FlexSight – A Flexible and Accurate System for Object Detection and Localization for Industrial Robots,” 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT), Naples, Italy, 2019, pp. 58-63, doi: 

https://doi.org/10.1109/METROI4.2019.8792902

M. Bonotto, L. Sarrocco, D. Evangelista, M. Imperoli, and A. Pretto, “CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis,” in International Conference on 3D Vision (3DV), Davos, Switzerland, 2024.

https://arxiv.org/abs/2403.14412