Firmware for a Custom Skin Cancer Screening Device

Detects malignant skin growth without a biopsy in 96.7% of suspect cases

  • C++
  • Linux
Solution FPGA-based LED-enabled device providing accurate assessment of suspect skin growth
Industry
  • Healthcare
  • Software and Technology
ENGAGEMENT MODEL

Fixed Price

METHODOLOGY Waterfall
Team
  • Firmware Developers
  • QA Lead
  • Business Analyst
  • QA Engineer
  • Project Manager
1
2
3
4
5
6

Customer

Problem

Veriskin decided to build a novel device that uses Machine Learning algorithms for non-invasive skin cancer detection. They turned to Softeq to test the viability of their idea through proof of concept (PoC) and develop firmware components powering the device.

Solution

The solution is a complex Wi-Fi-enabled system that incorporates:

  • FPGA-powered handheld device based on the Qualcomm Snapdragon SD410 processor complete with LEDs
  • Embedded software
  • Hardware components: audio speaker, accelerometer, and display among others.

Equipped with 2 photodetectors and a force sensor, the solution captures LED light signal variations and translates them into a visual diagram in real time. 

To diagnose the suspect lesion’s condition, the system monitors vascular refilling rate and proceeds to the custom algorithmic data analysis complete with a plain report output on the UI.

The solution’s highlights include:

  • Audiovisual guide with error messaging
  • Calibrated LED lights maximizing photodetector sensitivity
  • Memory capacity for 100+ test results downloadable via the USB or BLE
  • Custom Linux BSP and drivers
  • Built-in flash memory-based software
  • Optimized Linux boot-time
  • Firmware updates via the USB
  • Secure login (SSH protocol)

Results

Currently, the system is under rigorous clinical testing across the US dermatological institutions. The studies demonstrate that the device proves efficient in determining cancerous lesions. The solution is capable of detecting malignant skin growth in 96.7% of suspect cases with no extra biopsies or examinations. Allowing for a low-cost and prompt cancer diagnostics method, the device is meant to cut healthcare-associated spendings.