FPGA-based CNN for Real-time Object Detection

I'm seeking an expert to program a PYNQ-Z2 board as a Deep Neural Network (DNN) accelerator. The task involves deploying a standard Convolutional Neural Network (CNN) to detect people in real-time.

Key Responsibilities:

- Program the PYNQ-Z2 board to act as a DNN accelerator.

- Implement a standard CNN for object detection.

Ideal Skills:

- Proficiency in FPGA programming.

- Experience with PYNQ-Z2 board.

- Deep knowledge of Convolutional Neural Networks.

- Expertise in image processing and object detection.

- Familiarity with real-time image processing.

The CNN will be used exclusively for detecting people in a real-time camera feed. Please provide your portfolio if you have experience with similar projects. The FPGA is physically located with us, and the task will require remote programming and deployment. Later on some optimizations to the CNN to be done as per requirement.

Verilog / VHDL Elektronikë FPGA Neural Networks

ID Projekti: #38636525

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