1. We want to do vehicle classification and counting on the video footage.
2. The video footages are from the built-in Camera Module.
3. The developer can use any algorithms and model as long as the program can run on the server, achieve 90% accuracy and FPS more than 10.
4. The program should be able to run on the edge which is Jetson Nano. The specifications for the Jetson Nano can be read here [login to view URL]
CPU: Quad-core ARM Cortex-A57 MPCore processor
GPU: NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores
Camera Module: 8MP Sony IMX219 Camera Module
What are we looking for:
• Knowledge and experience in machine learning, data analytics, and DevOps with specific expertise in AWS Services (basic understanding) , Deep Learning Framework, Data Analytics, and Machine learning.
• Practical experience in Pytorch/Tensorflow, Python, C / C++ (possibly also Python, C).
• Creativity and curiosity for solving highly complex problems, and a team-oriented attitude.
• The ideal candidate ought to have an excellent communicator.
14 pekerja bebas membida secara purata $253 untuk pekerjaan ini
hi dear, I just read out your description and i am interested in your project. i am expert in vehicle detection, and i also done with it. if you need quality work than feel free to contact me. Thanks.