Image processing Systems

Traana has done significant work in the domain of Image Processing for Defence Applications; both FPGA based sophisticated hardware and as well as Software based Algorithms.

Our team has been involved in design and development of advanced image processing applications and algorithms, based on Realtime stand-alone FPGA based embedded systems, for Image Acquisition, Image Compression, Storage and Retrieval, Target Detection and Classification (i.e., Segmentation, Representation, Description and Classification). In addition, we have developed CUDA (Compute Unified Device Architecture) based Image Enhancement and Dehazing Algorithms. The systems and algorithms thus designed work over standard interfaces such as Camlink.

HD Detector Based Surveillance System based on ARTIX-7 FPGA

FPGA: ARTIX-7 from Xilinx

MEMORY:
Asynchronous SRAM
FLASH
SPI FLASH MEMORY
PROM

VIDEO INTERFACES:
Video Input:
Camera Link Receiver It takes digital video input from sensor over the LVDS link and converts it into 28-bit digital signals

Video Output:
RGB video output
HDMI Transmitter

Video Compression and Storage Module

FPGA
Artix 7 FPGA from Xilinx

DMSoC
Digital Media System-on-Chip (DMSoC) from Averlogic (AL582C) for H.264 video compression

Ethernet
10/100 Mbps.

Memory
32 GB NAND Flash for video and snapshot storage/ retrieval
1 Gb DDR2 RAM

Video capturing
PaI-B/XGA (monochrome and colour)
Digital video BT.656 standard

Storage

Video and snapshot storage at full format and frame rate on the onboard NAND Flash storage on user command

Control and Communication
RS232 Serial link

Output
Stream H.264 encoded video to Ethernet
Retrieval/transfer of stored videos & images from 32GB NAND Flash via USB
Analog Video output playback

Target Detection and Classification Module

Sub Modules

Backplane Card (BPC)
Interface Card (IFC)
Target Detection Card (TDC)

Important features
Scalable architecture
Input Voltage: 12V @ 10A with over voltage and reverse polarity protection
Real time frame grabbing at 25 frames per second over resolution of 1024 x 1024 pixels
194 – 512 x 512 point FFTs per second

FPGAs:
Artix 7-200T FPGA from Xilinx (5Nos.)
Artix 7-75T FPGA from Xilinx (1 No.)
SoC: Zynq 7020 SoC from Xilinx

Memory
64 GB NAND Flash for video storage/ retrieval
1 Gb DDR2 RAM
SRAMs
2 GB Parallel Flash

Video input
PAL/NTSC CCIR-B composite video via MCX connector
Camlink video via MDR 26 connector

Video Output
Composite video output via MCX connector
Camlink video output via MDR 26 connector
HDMI video output

Control and Communication
Gigabit Ethernet
USB 2.0 host with 2 port USB hub
USB-UART on each board for debugging

GPU based Image Processing Algorithms

Development and implementation of GPU based Image Processing Algorithms for images and videos using CUDA framework.

Platform:
Nvidia GE GTX-980
CUDA framework 6.5

Algorithms:
CLAHE (Contrast Limited Adaptive Histogram Equalization) for Contrast Enhancement De-hazing for foggy images

Use Cases:
Still images and Videos
Minimum frame rate of 20 fps for videos

Image processing Systems

Traana has done significant work in the domain of Image Processing for Defence Applications; both FPGA based sophisticated hardware and as well as Software based Algorithms.

Our team has been involved in design and development of advanced image processing applications and algorithms, based on Realtime stand-alone FPGA based embedded systems, for Image Acquisition, Image Compression, Storage and Retrieval, Target Detection and Classification (i.e., Segmentation, Representation, Description and Classification). In addition, we have developed CUDA (Compute Unified Device Architecture) based Image Enhancement and Dehazing Algorithms. The systems and algorithms thus designed work over standard interfaces such as Camlink.

HD Detector Based Surveillance System based on ARTIX-7 FPGA

FPGA: ARTIX-7 from Xilinx

MEMORY:
Asynchronous SRAM
FLASH
SPI FLASH MEMORY
PROM

VIDEO INTERFACES:
Video Input:
Camera Link Receiver It takes digital video input from sensor over the LVDS link and converts it into 28-bit digital signals

Video Output:
RGB video output
HDMI Transmitter

Video Compression and Storage Module

FPGA
Artix 7 FPGA from Xilinx

DMSoC
Digital Media System-on-Chip (DMSoC) from Averlogic (AL582C) for H.264 video compression

Ethernet
10/100 Mbps.

Memory
32 GB NAND Flash for video and snapshot storage/ retrieval
1 Gb DDR2 RAM

Video capturing
PaI-B/XGA (monochrome and colour)
Digital video BT.656 standard

Storage

Video and snapshot storage at full format and frame rate on the onboard NAND Flash storage on user command

Control and Communication
RS232 Serial link

Target Detection and Classification Module

Sub Modules

Backplane Card (BPC)
Interface Card (IFC)
Target Detection Card (TDC)

Important features
Scalable architecture
Input Voltage: 12V @ 10A with over voltage and reverse polarity protection
Real time frame grabbing at 25 frames per second over resolution of 1024 x 1024 pixels
194 – 512 x 512 point FFTs per second

FPGAs:
Artix 7-200T FPGA from Xilinx (5Nos.)
Artix 7-75T FPGA from Xilinx (1 No.)
SoC: Zynq 7020 SoC from Xilinx

GPU based Image Processing Algorithms

Development and implementation of GPU based Image Processing Algorithms for images and videos using CUDA framework.

Platform:
Nvidia GE GTX-980
CUDA framework 6.5

Algorithms:
CLAHE (Contrast Limited Adaptive Histogram Equalization) for Contrast Enhancement De-hazing for foggy images

Use Cases:
Still images and Videos
Minimum frame rate of 20 fps for videos