Developing Hardware for Neuromorphic Vision Camera

Project Synopsis

Development of hardware systems for processing data from Neuromorphic Vision Sensors. The system has important applications in fields such as robotics, autonomous systems, and image processing, and can be used to develop new visual processing algorithms.

Project Details

This project involves the design of a hardware system for receiving and processing data from a Neuromorphic Vision Sensor with VGA resolution. The project focuses on designing the interface between the sensor and an FPGA, receiving and storing data in a FIFO, providing precise time stamping, and sending the temporal spatial data to a PC via a USB 3.0 connection.

The system is also designed to provide an interface between the PC and the sensor for configuration and control purposes. The project requires a deep understanding of digital signal processing, embedded systems, and FPGA design.

The hardware system is designed to interface with the Neuromorphic Vision Sensor using a custom interface protocol that allows for high-speed data transfer. The FPGA is used to receive the data from the sensor and store it in a FIFO. The system provides precise time stamping of the data using a clock signal generated by the FPGA. The time-stamped data is then sent to the PC using a USB 3.0 connection.

The hardware system also provides an interface between the PC and the sensor for configuration and control purposes. This allows the user to configure the sensor settings, such as exposure time and gain, from the PC.