Lantern is deploying machine vision and artificial intelligence solutions at the device level to bring disruptive products to market.
Lantern Vision Systems, LLC, (LVS) located in Northern Virginia’s “Technology Corridor,” was founded in December of 2017. Lantern collaborates with organizations to develop new technologies and innovative solutions. Each of the three founders has a background in science, sensing, and safety-critical systems. Lantern was formed based on the unifying pursuit of saving lives and preventing injury through technology.
Lantern Vision Systems is made up of innovators, designers, and developers.
We have expertise in artificial intelligence, machine vision, extreme high-speed optical sensing, LiDAR, autonomous navigation, and safety-critical systems. We work at the device level using practical applications of artificial intelligence and innovative optical sensor design. As practitioners of deep learning and artificial intelligence, Lantern serves medical, automotive, industrial, and commercial industries.
PROGRAMMING LANGUAGES
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Embedded: VHDL, C
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Data Science: Python, Matlab, C++
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UX/UI: C#, JavaScript, Node.js
FRAMEWORKS & LIBRARIES
MACHINE LEARNING
Mobile
Web & Desktop
UX/UI
AR/VR
Robotics & Motion
PLATFORMS
Mobile
Desktop
HARDWARE & SENSOR TECHNOLOGIES
Embedded
FPGAs, Microcontrollers, System on a Chip (SoC), Arduino, and Linux-based Single-board Computers
Optical Sensing Technologies
LiDAR, Stereoscopic Vision, Structured Light, Time-of-Flight (ToF), Continuous-wave ToF, Frequency-Modulated Continuous Wave (FMCW), Infrared Sensing (Near, Short-Wave, Mid-Wave, and Thermal)
Machine Learning Methods
Using Recurrent and Convolutional Neural Networks for Object Detection, Gesture Recognition, Skeletal Tracking, Volumetric Sensing, Time Series Predictions, Structure from Motion (SfM), and Photogrammetry
Autonomous Navigation
Simultaneous Localization and Measurement (SLAM), Passive Visual Relative Navigation, Ultra-WideBand (UWB) ToF, Real-time Kinematic (RTK) GPS, Recurrent Neural Networks, Deep Reinforcement Learning, Imitation Learning
Other Sensing Technologies
Acoustic, Ultrasound, Hall-effect, Pressure (Shock, Vibe, Strain), Flow rate, Time-Domain Reflectometry (TDR), Ionizing Radiation using Scintillators and Photo-Multiplier Tubes (PMT), Magnetometers, Radar, UWB RF sensors, Lock-in Amplifiers
Hardware Development
Printed Circuit Board (PCB) design using Altium, Mechanical Design and Simulation using SolidWorks, Systems Engineering, Test Equipment Selection, Environmental Testing (Thermal, Shock, Vibe, EMI/EMC) including MIL-STD-810G, MIL-STD-464F, and MIL-STD-1911A