Research Projects and Collaboration
Since its inception, Smart Vision Works LLC has developed a close
relationship with the Robotic Vision Laboratory in the Department of
Electrical and Computer Engineering at Brigham Young University
(BYU) and Agris-Schoen Vision Systems, Inc. Ongoing cooperation
between these entities promises to produce a continuous stream of
technology transfer from BYU to SVW. Specifically, ongoing work at
BYU funded from other sources is focusing on machine vision design
and real-time vision algorithm development. Many collaborative
research projects have generated technologies that show great
commercialization potential.
Unmanned Quad-Rotor Helicopter:
Specifications:
- Carbon-fiber airframe to reduce weight without loss of strength
- Brushless motors for Increased efficiency and cooler operating range
- 5lb lift capacity and 2.5 lb frame weight
- 30~40 minute flight time
Applications:
- Surveillance and surveying
- Target tracking and following
- Flight stabilization and autonamous navigation
- Obstacle detection and avoidance
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Real-time Embedded Stereo Vision Sensor:
Design
- FPGA-based stereo vision sensor
- 1D signal matching and Genetic Algorithm
- Real-time dense disparity map generation
Applications
- Unmanned Air Vehicle (UAV) autonamous navigation
- Obstacle detection and avoidance
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Real-time Embedded Optical Flow Sensor:
Design
- FPGA-based optical flow sensor
- 60 frame per second tensor-based optical flow calculation
- Smooth and dense motion field
Applications
- Unmanned Air Vehicle (UAV) autonamous navigation
- Obstacle detection and avoidance
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Unmanned Ground Vehicles:
Features
- Small and real size minivan unmanned ground vehicle
- Vision and sensor fusion
- GPA, compass, camera, and LIDAR integration
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Helios FPGA Board:
Specifications
- 2.5”×3.5” (65mm×90mm), and <1.8 oz (50 grams). size of a deck of cards
- Low power consumption (1-3 Watts based on configuration)
- SDRAM (32M), SRAM (8M), Virtex-4 FX-60 FPGA
- Dual 400 MHz PowerPC processors
- 4G MMC Flash Card
- USB 2.0 Connectivity
- Two 640x480 color CMOS imagers at 60 frames per second
- Analog video transmission for real-time visual feedback
- Zigbee or 2.4GHz for data and command transmission
- Spartan-III FPGA for pre-processing
- Servo, Encoder, 5-24V
- Vin regulator, 3.3V and 5V GPIOs
Applications
- Embedded vision sensor
- Micro UAV and small UGV applications
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Image and Video Retrieval:
Applications
- Color Global Scale-Invariant Feature Transform (CGSIFT)
- Color image similarity measure for retrieval and verification
- Color video shot detection for color video retrieval
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Security and Surveillance:
Algorithm
- Shape-based object recognition
- Motion detection
Applications
- Human detection
- Intrusion detection and threat assesment
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Fish Species Recognition:
Algorithm
- Shape-based object recognition
- Motion detection and object tracking
Applications
- Fish species recognition
- Fish migration monitoring system
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