Developed an Industrial Imaging Engine & Enabled Edge Intelligence Machine Vision

Customer: Leading NA manufacturer of Machine Vision Systems

Scope: To develop a next-gen industry grade machine vision camera with improved functionalities that can read codes on the widest range of materials

Solution: 

  • Designed and developed modular FPGA-based vision processing unit (VPU) to enhance the imaging engine with edge analytics
  • Pre-functional prototype of the VPU for feasibility study, analysis, and architecture
  • Hardware: Adaptor board design, interface Camera, CPU and VPU boards
  • Software: Yocto Linux BSP porting, driver development, integration, and board bring up
  • Integrating, implementing and configuring drivers (PMIC, Ethernet, RPMsg, pin muxing, camera sensor, V4L2, Wi-Fi, Bluetooth, PTP, etc.)
  • Camera driver support enhancements and support for dual-camera setup
  • Adding driver support for new peripherals (OLED display support, temperature sensor, accelerometer)

Impact:

  • Real-time advanced image processing and analytics on the edge
  • Modular engine enabling rapid development of multiple product lines
  • Reduced time-to-market by 8 months
  • Provided higher percentage of factory automation and automated real-time checks for defect identification and other quality KPIs to customer’s customer in Automotive, Logistics, Consumer Electronics, and Pharmaceutical industries

Customer: Leading UK-based provider of aftermarket automotive ancillary products

Customer: Tier-1 NA Welding Machine Manufacturer

Customer: Tier-1 NA Welding Machine Manufacturer