Thesis: Task-Aware Edge Face Recognition Optimizer

Axis Communications AB; Lunds kommun; On-site; SEK 167,000 - 234,000; Full time

Job summary

Axis Communications AB in Lund, Sweden seeks a thesis student to develop a task-aware joint optimization framework for efficient edge face recognition. The project focuses on preserving identity-discriminative information while reducing image detail and processing overhead on resource-constrained edge devices.

The work targets a lightweight, quantized recognition network with FPGA-based edge system implementation, evaluating recognition reliability under varying imaging conditions and energy

Qualifications

• Master's or Bachelor student in Computer Science, Software Engineering, or a related field.

Responsibilities

• Develop a task-aware joint optimization framework for front-end processing and face recognition on resource-constrained edge devices.
• Evaluate recognition reliability, computational complexity, and energy consumption for FPGA-based edge systems.

Education

Master's or Bachelor student in Computer Science, Software Engineering, or a related field.

Job description

Axis Communications AB in Lund, Sweden seeks a thesis student to develop a task-aware joint optimization framework for efficient edge face recognition. The project focuses on preserving identity-discriminative information while reducing image detail and processing overhead on resource-constrained edge devices.

The work targets a lightweight, quantized recognition network with FPGA-based edge system implementation, evaluating recognition reliability under varying imaging conditions and energy