Papers

1

Total Citations

12

H-Index

1

About

J. Roeber is a researcher in analog and mixed-signal integrated circuit design, with a focus on low-power vision systems for edge computing. Their most cited work, "Low-power analog smart camera sensor for edge detection" (2016, 12 citations), introduces an intelligent analog image sensor that performs on-chip edge detection without the need for power-hungry digital processing. This system integrates a 3×3 read-out CMOS image sensor with an analog Sobel filter stage, operational amplifiers, and comparators to output a 1-bit edge map, enabling real-time, energy-efficient visual processing for smart cameras and marker detection applications. Roeber’s contribution lies in demonstrating that analog computation can replace digital pipelines for early vision tasks, significantly reducing power consumption while maintaining real-time performance. This work has influenced the design of low-power sensor nodes for Internet of Things (IoT) and embedded computer vision, where energy efficiency is paramount. By bridging analog sensing and processing, Roeber has advanced the frontier of smart sensor systems, making them viable for battery-operated and resource-constrained environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Low-power analog smart camera sensor for edge detection
12 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Fraunhofer Institute for Integrated Circuits

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago