Approximate algorithms and architectures for area efficient system design

该项目旨在开发更简单但可靠的图像识别系统，该系统可以在低成本、小规模的平台上运行，用于驾驶员监控系统(DMS)应用。更便宜、可靠的DMS将使这项技术更广泛地应用于最终用户，并提高汽车的安全性。该项目将开发近似算法和电路技术，为研究型学生提供培训，并建立近似计算领域的能力。预计这还将带来商业产品、许可证和收入，从而创造新的就业机会。

This project aims to develop simpler but reliable image recognition systems that can run on low-cost, small-scale platforms, for use in driver monitoring system (DMS) applications. Cheaper reliable DMS will lead to wider availability of this technology to end users and improve safety of motor vehicles. This project will develop approximate algorithmic and circuit techniques, provide training for research students and build capability in the area of approximate computing. It is also expected to lead to commercial products, licences and revenue, which will enable new job creation.