Facial detection and recognition
AI instantly locates the presence of a face in the video stream, eliminating background noise, regardless of lighting conditions.
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VisionLab-IA / For a more autonomous world...
Computer vision represents a strategic advancement in the deployment of intelligent systems capable of visually perceiving and interpreting their environment. By leveraging machine learning and image processing algorithms, this technology enables machines to detect, recognize, and analyze visual elements with increasing accuracy.
Its applications are particularly promising in supporting autonomous decision-making in complex environments, where responsiveness and reliability are essential. Computer vision thus paves the way for safer, faster, and smarter automation of physical environments.
Fast, accurate and reliable AI facial identification, even in challenging conditions,
to secure and streamline your access, payments and customer services.
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VisionLab-IA-Drone
Our drone identifies a person in seconds using computer vision and biometrics,
even in crowds or over a large area. Reliability and speed guaranteed in dynamic conditions.
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VisionLab-IA-Soft
VisionLab-IA-Soft is a modular, pipelined platform (C++/NetCore).
Its architecture ensures low latency, high maintainability, and efficient deployment of autonomous intelligent machines.
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Artificial intelligence at the heart of biometric security
Optimize identity verification with a cutting-edge artificial intelligence pipeline.
Our technology orchestrates deep learning models to transform every face into a unique and unforgeable digital signature.
An AI pipeline structured in 3 key stages. To guarantee absolute accuracy, our pipeline processes the image in real time through three major components:
Landmarking (reference point extraction)
Our algorithms map dozens of key anatomical points (eyes, nose, mouth contours) to analyze the geometric structure of the face with millimeter precision.
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Comparing facial signatures
These markers are translated into a vector-based facial signature.
The AI then compares this mathematical fingerprint to your databases
in a fraction of a second to validate access.
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Drones and artificial intelligence: when vision and autonomy meet
Artificial intelligence is transforming drones into truly autonomous systems capable of perceiving, understanding, and navigating their environment without human intervention.
At the heart of this revolution, onboard image processing allows the drone to analyze video streams in real time
to detect objects, track moving targets or identify faces with remarkable accuracy,
even in complex conditions such as low light or dense crowds.
Simultaneously, SLAM (Simultaneous Localization and Mapping) algorithms play a key role in autonomous piloting: by merging data from cameras, inertial sensors, and sometimes lidar, the drone builds a 3D map of its environment while estimating its own position within it, allowing it to plan optimal trajectories, avoid obstacles, and maintain stable flight, whether indoors, in urban environments, or over vast outdoor areas.
Thanks to this synergy between computer vision and real-time localization, autonomous drones are becoming
versatile tools, equally effective for surveillance and inspection as for logistics
or emergency response.
Remotely Operated UAV
GARY: Control from a remote location.
This is made possible by wireless or wired communication links that transmit operator commands to the machine in real time.
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Autopilot UAV
WYATT (Outdoor): Autoguided flight refers to navigation
by waypoints or automated piloting via integrated GPS.
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Autonomous UAV
WYATT (Indore) VSLAM: VSLAM allows drones to locate themselves and
map their environment in real time using their cameras,
offering reliable autonomous navigation even without GPS, ideal for
exploring unknown indoor spaces.
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VisionLab-IA-Face-Id
Our AI-powered facial recognition pipeline identifies your employees and customers in a flash, with remarkable reliability even in challenging conditions.
DiscoverVisionLab-IA-Drone
Our drone identifies a person in seconds using computer vision and biometrics, even in crowds or over large areas. Reliability and speed guaranteed in dynamic conditions.
DiscoverVisionLab-IA-Soft
VisionLab-IA-Soft detects moving objects, such as vehicles and people, in complex environments. Track the movement history of multiple objects to analyze their lifecycle patterns and predict their future trajectory.
DiscoverVisionLab-IA-IoT
VisionLab-AI-IoT enables autonomous robots to perceive and understand their environment. By analyzing captured images, they can avoid obstacles, track targets, and navigate without human intervention, making them safer and smarter.
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