Artiom Tchouprina
Event-based Computer Vision Expert
Passionate CV engineer, specialized in the use of event-based / neuromorphic cameras.
Hi, my name is
About Me
I am a independent engineer specializing in computer vision. More specifically, I focus on event-based (neuromorphic) sensors.
My goal is to find applications where neuromorphic sensors really shine and have a positive impact from an ethical perspective.
I am currently focusing on industrial applications, biological research (microscopy) and biodiversity monitoring.
Projects
High Speed 3D
Structured light
Prophesee EVK3D Structured Light Depth Camera
Product-focused depth solution based on event-based vision and structured light, developed to deliver robust 3D sensing in demanding industrial conditions.
Predictive maintenance
Frequency map
Phase map
Vibration Motion Analysis for Predictive Maintenance
Built frequency and phase maps from periodic event streams to characterize vibration signatures and detect early drifts for predictive maintenance.
Rotation
Motion compensation
Industrial inspection
Rotation Motion Analysis Without Stopping Machines
Real-time inspection of rotating machines with rotation compensation and contrast maximization, enabling diagnostics without stopping production.
Translation
Compensation
High-speed vision
Linear Motion Compensation
Space-time tunnel selection and homography-based event warping for conveyor-like linear motion, converting temporal precision into sharper frame-like reconstructions.
Triggering
Data logging
Slow motion replay
Smart Triggers for Data Saving and on-demand Slowmo Replay
Virtual-fence smart triggers tosaves pre/post raw data windows on activity spikes and replays them at arbitrary speed while live monitoring continues.
Event-Based Sensors
Event-based (neuromorphic) cameras do not capture full frames at fixed intervals. Instead, each pixel asynchronously reports brightness changes with microsecond precision. This enables ultra-low-latency perception, high dynamic range, and efficient processing for high-speed industrial monitoring.
How event-based sensors work (by Prophesee)
Prophesee presentation of Event-Based sensors technology
ICCP 2024 Keynote : by Pr. Davide Scaramuzza
Prof. Davide Scaramuzza from the University of Zurich presents how event cameras work, the algorithmic principles behind them, and their applications.
Get in Touch
Have a project in mind ? Feel free to reach out, I’d be happy to discuss it with you!
Experience
Senior Application Engineer
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Prophesee
July 2022 - March 2025
Helping customers develop specifically tailored applications using Prophesee event-based cameras.
Providing technical support and training to customers.
In charge of the demos lifecycle.
Developped EVK3D (Depth from Structured Light camera)
Providing technical support and training to customers.
In charge of the demos lifecycle.
Developped EVK3D (Depth from Structured Light camera)
Computer Vision Software Engineer
Jan 2022 - Dec 2023
Part of the innovation team, developed demonstrators illustrating various event-based sensors features.
Computer Vision Intern
Feb 2018 - Aug 2018
Produced hardware models for RTL implementation from events filtering algorithms.
Internship
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STMicroelectronics
Apr 2017 - Aug 2017
Hyperdimensional computing applied to EEG data for motor imagery tasks
- Improved feature extraction performances with wavelet scattering transform.
- These improvements led to this article
Education
2014 - 2018
Diplôme d'Ingénieur de l'École polytechnique
École polytechnique, Palaiseau, France
General scientific content : physics, mathematics, and a specialization in electrical engineering.
2018 - 2019
Diplome d'ingénieur ISAE - Supaero
ISAE - Supaero
General aerospace engineering curriculum, with a specialization in signal processing, computer vision and camera systems.