Neural‑Network‑Accelerated Image Processing for High‑Performance Vision Systems (Neural Network Acceleration of Image Processing, Tech ID: 23‑019)
Technology Overview: This technology accelerates image‑processing pipelines using neural network–based hardware and algorithmic optimization. The approach enables faster, more energy‑efficient execution of common vision tasks such as filtering, feature extraction, and classification. By offloading computation to neural network accelerators, the system supports real‑time performance in resource‑constrained environments.
Industry Pain Point: Conventional image‑processing pipelines are computationally heavy and energy‑intensive.
NJIT Solution: Neural‑network acceleration enables real‑time, low‑power image processing for advanced vision systems.
Key Features & Advantages
- Accelerated image‑processing performance
- Reduced energy consumption
- Supports real‑time vision applications
- Well suited for edge and embedded systems
Development Stage: TRL 3–4 – Architecture‑level validation completed.
Target Markets
- Edge AI and computer vision
- Autonomous systems
- Smart imaging hardware
Market Opportunity
- Global computer vision market (2026): ~$20B
- CAGR: ~18–20%
- Projected market size (2035): ~$90–100B
Commercial & IP Details
Inventors: Shaahin Angizi, Arman Roohi