FPGA-based CNN for Real-time Object Detection
₹1500-12500 INR
Paid on delivery
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.
Project ID: #38636525
About the project
4 freelancers are bidding on average ₹9625 for this job
Hi there, I am an ML engineer. I can start right away and deliver within the deadline. So, Let’s have a quick conversation. I can be more specific once we get all the requirements and information required to execute th More
Hello, I just read your description and am interested in your project. I am an Expert in FPGA Programming and have also done certain projects. If you need quality work then feel free to contact me. Thanks
