FPGA Design & Development
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We build Embedded Vision modules for Industrial Automation using FPGA, Intel and ARM processors.
YantraVision has extensive experience in building Embedded Vision modules using FPGA, Intel and ARM processors. We provide Embedded Vision modules to OEMs, System Integrators and End Customers. Our specialty is high speed applications using FPGA processors and grading applications using Deep Learning Algorithms ported on FPGA or Intel platforms. Our modules are used for sorting, grading, defect inspection, track & trace and robotic applications.
We build high speed vision modules using FPGA processors with cycle time in μ seconds.
Key Highlights
- Speed of Hardware/Flexibility of Software
- High Speed Web Applications
- 50 K+ Decisions/Sec
- High Resolution Image Processing
- Complex Image Processing
Specifications
- CHIPSET – XILINX Zynq 7000
- PROCESSOR – ARM
- HDL – Verilog/HLS
- TOOLCHAIN – Vivado
- ALGORITHM – Vision Algorithm
- SENSOR – Line Scan
Industrial Applications
- Rice/Pulse Sorting
- Tablet Inspection
- Print Inspection
We build programmable vision modules that are reliable, economical and efficient than a PC based solution.
Key Highlights
- Easy to Program
- Programmable for lot more applications than Smart Cameras
- Minimal Power & Space Requirement
- High Reliability
- No expensive Image Processing Libraries
- Diigtal I/O Integrated
- Priced for Indian Market
Specifications
- PROCESSOR – Intel Atom
- IMAGE SENSOR – Area Scan
- SPEED RANGE – 2 mtrs/Sec
- LIGHTING – Integrated , External
- INTERFACES – Ethernet/POE, Modbus, RS232/422
- ALGORITHMS – Vision Algorithms, Deep Learning
- HOUSING – IP Rated
- FRAMEWORK – OpenVINO
Industrial Applications
- Programmable for – Counting, Sorting & Grading, Barcode Reading, DPM Code Reading & Defect Inspection
- Target Industries – Food Processing, Pharmaceutical, Pricing and Packaging & Textile Machinery
We build Deep Learning for Indefinable Shape, Colour and Form of defects
Key Highlights
- Not solvable using Rule based Vision Algorithms
- Implementing Thresholds for Acceptability
- Human comparable subjectivity & flexibilty
Specifications
- HARDWARE – FPGA Zynq, Intel Movidius
- MODELS – BNN, VGG 16
- FRAMEWORK – DPU, OpenVINO
Industrial Applications
- Surface Inspection Defects
- Fabric Pattern Defects
- Text/OCR Defects
High Speed Modules
We build high speed vision modules using FPGA processors with cycle time in μ seconds.
Key Highlights
- Speed of Hardware/Flexibility of Software
- High Speed Web Applications
- 50 K+ Decisions/Sec
- High Resolution Image Processing
- Complex Image Processing
Specifications
- CHIPSET – XILINX Zynq 7000
- PROCESSOR – ARM
- HDL – Verilog/HLS
- TOOLCHAIN – Vivado
- ALGORITHM – Vision Algorithm
- SENSOR – Line Scan
Industrial Applications
- Rice/Pulse Sorting
- Tablet Inspection
- Print Inspection
Programmable Modules
We build programmable vision modules that are reliable, economical and efficient than a PC based solution.
Key Highlights
- Easy to Program
- Programmable for lot more applications than Smart Cameras
- Minimal Power & Space Requirement
- High Reliability
- No expensive Image Processing Libraries
- Diigtal I/O Integrated
- Priced for Indian Market
Specifications
- PROCESSOR – Intel Atom
- IMAGE SENSOR – Area Scan
- SPEED RANGE – 2 mtrs/Sec
- LIGHTING – Integrated , External
- INTERFACES – Ethernet/POE, Modbus, RS232/422
- ALGORITHMS – Vision Algorithms, Deep Learning
- HOUSING – IP Rated
- FRAMEWORK – OpenVINO
Industrial Applications
- Programmable for – Counting, Sorting & Grading, Barcode Reading, DPM Code Reading & Defect Inspection
- Target Industries – Food Processing, Pharmaceutical, Pricing and Packaging & Textile Machinery
Deep Learning Modules
We build Deep Learning for Indefinable Shape, Colour and Form of defects
Key Highlights
- Not solvable using Rule based Vision Algorithms
- Implementing Thresholds for Acceptability
- Human comparable subjectivity & flexibilty
Specifications
- HARDWARE – FPGA Zynq, Intel Movidius
- MODELS – BNN, VGG 16
- FRAMEWORK – DPU, OpenVINO
Industrial Applications
- Surface Inspection Defects
- Fabric Pattern Defects
- Text/OCR Defects
Case Studies
Embedded Vision on FPGA
