Parallel Face Detection Hardware-Software Hybrid Circuit
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Solution Overview
Problem
Existing face detection technologies face challenges in achieving high-speed and high-accuracy face detection while being adaptable to diverse algorithms and imaging conditions, with software-based methods struggling to process images efficiently and hardware-based methods lacking flexibility.
Innovation Solution
A face detection device that combines a hardware circuit for face detection with a programmable signal processing circuit, allowing parallel processing and flexible algorithm execution, enabling improved accuracy and adaptability through the use of a controller to integrate results from both circuits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If software-based face detection is used, then detection accuracy can be improved, but processing speed deteriorates
Solution Approach 1:
The face detection system is divided into two independent modules: a hardware-based face detection circuit for high-speed initial detection, and a software-based signal processing circuit for high-accuracy verification. This segmentation allows each module to specialize in its strength while working together to achieve both speed and accuracy.
Solution Approach 2:
The controller acts as an intermediary that coordinates between the hardware detection circuit and software signal processing circuit. It manages data flow, timing synchronization, and result integration, enabling the two different processing approaches to work seamlessly together without conflict.
2Speed
If hardware-based face detection is used, then processing speed is improved, but adaptability to diverse algorithms deteriorates
Solution Approach 1:
The signal processing circuit is designed with programmable capabilities that allow it to execute multiple different face detection algorithms and adapt to various imaging conditions. This universal design enables the software component to handle diverse detection requirements while the hardware component maintains high-speed processing.
3Adaptability or versatility
If software-based face detection is used, then adaptability to diverse algorithms is improved, but processing speed deteriorates
Solution Approach 1:
The system segments detection tasks by function: the hardware circuit handles the time-critical high-speed detection of face regions, while the software signal processing circuit handles the computationally intensive algorithmic verification and adaptation to diverse conditions. This functional segmentation resolves the speed-adaptability contradiction.
4Speed
If dedicated hardware circuit is used, then processing speed is improved, but flexibility in adapting to new algorithms deteriorates
Solution Approach 1:
The system merges dedicated hardware circuitry for speed-critical functions with programmable software processing for flexibility. The hardware detection circuit provides real-time performance, while the programmable signal processing circuit can be updated with new algorithms, combining the advantages of both approaches into a unified system.
Data Source
AI summary
A face detection device for detecting the face of a person in an input image may include the following elements: a face detection circuit including a hardware circuit configured to detect a face in an input image; a signal processing circuit configured to perform signal processing based on an input image signal in accordance with a rewritable program including a face detection program for detecting a face in an input image; and a controller configured to allow the face detection circuit and the signal processing circuit to perform face detection in a parallel manner on an image of a frame or on respective images of adjacent frames among consecutive frames, and to output a final face detection result on the basis of face detection results obtained by the face detection circuit and the signal processing circuit.