Faster Mine Detection Using Computer Vision and EEG

mine_detectionUnderwater mines remain a concern for ships around the world. Mines still remain from World War II throughout the Mediterranean Sea, and in the Persian Gulf from Desert Storm and other recent military activities in that region. We developed techniques that combine computer vision with electroencephalogram (EEG) devices to enable the detection of mines in a much better and faster manner.

The current state of the art in mine detection has people scanning through large sonar images looking for the mines. This is a lot like “Where’s Waldo?”. Many objects look similar to mines, e.g., ripples in the sand. And it is even harder in some ways since the images are blurry and there is noise. Think about looking for Waldo with scratched and blurry glasses. We use computer vision algorithms to first detect potential locations of the mines, but they are not always accurate. These algorithms look for simple patterns, akin to looking for red and white stripes to find Waldo. But they can be tricked if similar patterns occur but they are not mines — just like the illustrators of “Where’s Waldo?” draw other objects with red and white stripes to fool the viewer. Thus, we give all of these potential mine locations from the computer vision algorithm to a human who can then verify if they are indeed mines or some object that looks like a mine. And since we prescreen these images, we can present them in a much faster manner to the human; we did it at 5 images per second by using EEG techniques.

This work was recently published in the Journal of Oceanographic Engineering, and was highlighted in the popular press (see links below). The authors are Chris, Alric, Paul DeGuzmann from Neuromatters, and Ryan.

Links:
Union-Tribune San Diego
ACM TechNews
GCN
UCSD News
UCSD Jacobs School of Engineering News
UCSD CSE News
Product Design and Development
Scientific Computing
ECN Magazine
R & D Magazine
Phys.org
EurekAlert

Six Frontiers of Innovation Scholars

underwatercanon

UCSD recently announced the awardees for its first offering of the Frontiers of Innovation Scholars Program. The program aims to enhance interdisciplinary research across four strategic research themes – 1) Understanding and Protecting the Planet, 2) Enriching Human Life and Society, 3) Exploring the Basis of Human Knowledge, Learning, and Creativity, and 4) Understanding Cultures and Addressing Disparities in Society. PhD students Quentin Gautier and Alexandria Shearer, and undergraduates Jorge Pacheco, Nathan Hui, Antonella Wilby and Dominique Meyer all received awards. Quentin will work on 3D modeling for underwater archaeology (the picture above shows an underwater cannon in Rockly Bay, Tobago – the site of a large conflict between the French and the Dutch to control Tobago. We created this model using data from collaborating archaeologists); Alex project aims to develop an aerial lidar system for topographic mapping large forested regions specifically to find Maya structures in the jungle; and the undergraduates will work on various projects related to the Engineers for Exploration program.

Links:
UCSD Press Release
UCSD CSE Press Release
Frontiers of Innovation Scholars Program

Dr. Janarbek Matai Defends His Thesis

IMG_3471Congratulations to Dr. Janarbek Matai on the successful defense of his PhD thesis. His thesis focused on making the hardware design process easier to use, more accessible to programmers, while not sacrificing performance. As one of the foremost experts in high level synthesis, he aimed to automate the knowledge that he has learned by using these state of the art hardware design tools over the past five years. Janarbek will be missed, but is not going far. He will join the research group at Cognex along with former Kastner Group alumni Dr. Ali Irturk and MS alumni Isaac Phillips.

Jacobs School of Engineering Research Expo

re15_adOur group has seven posters in the Jacobs School of Engineering Research Expo this year. The posters cover our research in underwater sensing, hardware acceleration for biomedical applications, real-time 3D reconstruction, and archaeological mapping. The research expo has been a great way for our group to connect with industry. Nik Devreaux from ViaSat provides some insight on this in a recent interview where he mentions his past experiences with our research group related to FPGAS and cyber-security, and the connections with ViaSat.

Links: Jacobs School of Engineering Research Expo, Research Expo Poster Abstracts,
Nik Devereau Interview

Maya Archaeological Expeditions Highlighted in Triton Magazine

zotz-temple
The Triton Magazine covered our research at the Maya archaeological site El Zotz. They focused on our aerial imaging and 3-D reconstructions of the masks and other artifacts both outside the temples and other structures at the site, and within the temples.

The picture shows a 3D model of one of the walls of a temple at El Zotz. This is underground, and has been carefully excavated. We created the model using a technique called “structure from motion”. The Maya would adorn the walls of the temple with masks depicting their gods.

Link: Triton Magazine: Bat’s Eye View

Sapper Nets “Micro Top Pick” Honorable Mention

sapperMicro Top Picks are given to the best papers from across the best conferences in computer architecture (ISCA, Micro, ASPLOS, etc.). Our paper, “Sapper: A Language for Hardware-Level Security Policy Enforcement”, received an honorable mention. Congrats to all of the authors: Xun Li (Facebook), Vineeth Kashyap (UCSB), Jason Oberg (UCSD), Mohit Tiwari (UT Austin), Vasanth Ram (UCSB), Ryan Kastner (UCSD), Tim Sherwood (UCSB), Ben Hardekopf (UCSB), and Fred Chong (UCSB).

ASPLOS paper

Automating Underwater Mine Detection Using a Brain-Computer Interface

BCIIt may seem like science fiction, but we showed that it is possible to use sensors to monitor your brain waves and quickly detect underwater mines in sonar images. We combined techniques from computer vision with cutting edge classification of focal interest of human operators via electroencephalography (EEG) analysis, i.e., the recording of electrical activity along the scalp. This is the first approach for using EEG in this application.

These ideas are detailed in our upcoming journal paper, “A Brain-Computer Interface (BCI) for the Detection of Mine-Like Objects in Side Scan Sonar Imagery”, that has been accepted as a full article in the Journal of Oceanic Engineering. Congrats are in order to the authors: Christopher Barngrover, Alric Althoff, Paul DeGuzman, and Ryan Kastner. Special thanks to Neuromatters for the support with the EEG analysis tools and to Advanced Brain Monitoring for the use of the EEG sensors and hardware. The picture shows Dr. Chris Barngrover stylishly sporting the EEG cap at Neuromatters in New York City.

Ruku the Robot Kickstarter

rukuRuku – a robotic Rubik’s Cube solver – started a Kickstarter campaign. They are aiming to raise funding to develop their robotic platform as a way to motivate K-12 students to participate in science, technology, engineering, and math (STEM). The project was started by Daryl Stimm. He recruited Jonas Kabigting and Will Mutterspaugh to help him realize the project during Ryan’s CSE 145. They are aiming to raise $50,000 which will enable them to move this into larger production. We wish them the best of luck in their fundraising and future endeavors!

Links:
Ruku Robot Website
Kickstarter page
YouTube Video from CSE 145 Final Presentation
CSE 145 Webpage
UCSD Guardian Article

Cell Sorting Research Highlighted in IEEE Signal Processing Magazine

cell parametersOur work on high speed cell sorting was one of three research projects discussed in a “Looking at Machine Vision” article recently published in the IEEE Signal Processing Magazine. This work is building a hardware accelerated system to classify cells as they pass through a microfluidic device. The image processing must handle 10,000+ frames/second, while accurately detecting the type of cell. We originally developed the algorithms based upon work in Prof. Dino DiCarlo’s lab at UCLA. We are now working with the startup Cytovale to develop a commercial system based upon our initial technology.