<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
Nicola Carlon
Co-founder
Curriculum
Master's Degree in Computer Engineering, specialized in Computer Vision and Robotics, with over 12 years of experience in designing and developing vision systems and solutions for industrial automation. I'm also an annoying electric car owner (but not vegan) and the creator of EViaggio.it
Alberto Pretto
Co-founder
Curriculum
Alberto Pretto is an Associate Professor of Robotics & Perception at the University of Padova. He has experience in both academia and IT companies, having founded innovative startups and working as a researcher in highly applied areas of robotics and computer vision.
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 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.
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.
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.
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:
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.