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Lantern is deploying machine vision and artificial intelligence solutions at the device level to bring disruptive products to market.

Lantern LLC, 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 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

  • Embedded: VHDL, C

  • Data Science: Python, Matlab, C++

  • UX/UI: C#, JavaScript, Node.js

FRAMEWORKS & LIBRARIES

MACHINE LEARNING

Mobile

Web & Desktop

UX/UI

AR/VR

Robotics & Motion

PLATFORMS

Mobile

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Desktop

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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

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