Skin Detection Using I.Mx6 Qseven Som Development Platform}

Skin Detection Using i.MX6 Qseven SOM Development platform


iwave systems technology

Skin Detection Using i.MX6 Qseven SOM Development platform

Today, in the current trending technology, iWave brings real-time skin detection application using i.MX6 Qseven SOM Development platform. Skin detection application developed by iWave provides real time camera support and skin detection in a single board.

Features supported are:

Real time video capturing using camera.

Hardware encoding of mjpeg frames for faster performance.

Functions from OpenCV library for enhanced image processing.

Skin detection application uses OpenCV (Open Source Computer Vision). OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library takes advantage of multi-core processing. It also takes advantage of the hardware acceleration of the underlying heterogeneous compute platform. This application can perform both frame capturing from the camera and processing of captured frame simultaneously.


Skin detection application developed by iWave works as follows:

– Camera attached to the board starts capturing frames as an input.

– The captured frames from the camera is passed to Algorithm for processing:

a) Image processing algorithm uses OpenCV libraries for skin detection.

b) Here it will detect skin parts and eliminates non-skin parts and eliminated parts will be displayed in black colour.

-Output of the algorithm will be a frame with only skin parts.

-Finally user can see both original frame and skin detected frame on a single screen.

The application can be enhanced to use in:

Medical Field

oTo detect skin tone, skin scars, moles in skin, etc.

oTo identify skin related diseases.

Surveillance cameras

oCounting number of person coming or leaving any room/mall

Development Environment:

Development kit : i.MX6 Qseven SOM Development platform

OS : Linux 3.10.17

Camera : OmniVision CMOS camera

OpenCV, Skin Detection, skin analysis, skin analyser, Skin parts, skin tone, skin scars, moles in skin, skin diseases, i.MX6 Qseven SOM Development platform, OmniVision CMOS camera, i.MX6 Qseven SOM Development platform, OpenCV, Skin Detection, skin analysis, skin analyser, Skin parts, skin tone, skin scars, moles in skin, skin diseases, OmniVision CMOS camera

iWave Systems Technologies, an ISO 9001:2008 certified company, established in the year 1999, focuses on standard and customised System on Module/SBC product development in Industrial, Medical, Automotive & Embedded Computing application domains. iWave Systems also provides comprehensive Engineering design services involving Embedded Hardware, FPGA and Software development.

iWave’s Hardware expertise spans complex board design up to 30 layers; Analog , Digital & RF Designs; FPGA Development up to 3+ million gates and VHDL / Verilog RTL Development & Verification. Our Software expertise ranges from OS Porting, Firmware & Device Drivers Development and Wireless & Protocol Stacks to Embedded Application Development.

The company designs and develops cutting edge products and solutions. iWave has been an innovator in developing highly integrated, high performance, low power and low cost System-On-Modules(SOM) and Development Platforms. iWave has been able to develop advanced products for its customers using its SOMs in the shortest possible time at the most optimized design cost.

iWave Systems has won the confidence of its esteemed customers spread across the globe by being a reliable design partner in developing innovative products. iWave’s typical customers are semiconductor chip designers, RTOS & Protocol vendors and OEMs. Our services portfolio comprises Turnkey Design, Test and Prototype (NPI) & ODM and Onsite resourcing support. Our solution offerings cover Customization, Licensing and ODM. iWave specializes across Industrial, Automotive and Medical Domains. iWave Systems is headquartered in Bangalore, India with offices in Japan and France.

Article Source: