Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently introduce processing artifacts, creating a direct barrier to robust and reliable AI classification.
AI4IV’s mission is to address these limitations and become a leader in AI for vision by providing technologies that enable on-sensor, real-time recognition and classification of scenes under uncontrolled lighting conditions, in the presence of moving objects, and at the same cost of a standard camera chip.
The application scenarios range from quality-control, video-surveillance to automotive.
The company collaborates with Fondazione Bruno Kessler in the study and development of advanced low-power architectures for AI vision at the edge.
AI4IV is offering a PhD scholarship jointly with FBK.
The objective is to develop high-efficiency, silicon-native solutions that bridge the gap between neuromorphic sensing and AI processing. The focus lies in architecting a unified system capable of real-time image intelligence, overcoming the critical hardware bottlenecks of limited memory and power to enable the next generation of vision-at-the-edge.
Required/Preferred Candidate Skills and Competencies
- Background in analog/digital electronics, or IC design;
- knowledge of image sensor architectures.
- knowledge of computer vision; knowledge of deep learning architectures;
- Knowledge of C++, Python, Matlab;
- Analog/digital circuits IC design capability;
- Testing of electronic devices and systems; FPGA firmware design.
