Image Processing Jobs

### **Project Title** Development of a High-Speed US Coin Identification and Detection System (Hardware + Software Integration) --- ### **Project Description** I am seeking an experienced software developer to collaborate on building a **high-speed US coin identification and detection system**. This system will integrate both hardware and software components to analyze coins for **key dates** and **mint errors**. I will handle the hardware development but will work closely with the software developer to ensure seamless integration throughout the project. --- ### **Project Objectives** 1. **Coin Identification**: Develop software that can analyze coins (front and back) using high-tech cameras at high speed. 2. **Key Date and Mint Error Detection**: The software must ...

I'm seeking a skilled C++ developer with extensive experience in GStreamer, deep learning, and image processing. The project involves adding a crucial feature to enhance real-time video streaming capabilities, with a specific focus on reducing latency. Key Responsibilities: - Code refactoring to improve software performance and integrate new functionalities. - Implement advanced techniques in image processing and deep learning to optimize video streaming. - Ensure the new features do not compromise the code's readability. Ideal Candidate: - Proficient in C++ with a deep understanding of GStreamer. - Experienced in code refactoring and enhancing software with new features. - Knowledgeable in image processing and deep learning. - Prior experience in optimizing real-time video str...

I'm seeking a proficient researcher and MATLAB expert who can assist in developing a research proposal aimed at enhancing Image Super-Resolution (SR) models. The proposed research should aim to tackle existing limitations such as high computational complexity, restricted upscaling factors, and inadequate restoration quality. Key Responsibilities: Research Proposal Development: Formulate a comprehensive proposal targeting the improvement of SR models. MATLAB Implementation: Implement the proposed model in MATLAB, ensuring it can be validated against current leading SR models. Model Validation: The model should be tested on BSD200, BSD100, and URBAN100 datasets. Algorithm Development: Create a low-complexity SR algorithm that offers improved computational efficiency. Performance ...