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| import numpy as np
from dataclasses import dataclass
@dataclass
class BiometricScore:
"""单模态生物识别分数"""
modality: str
score: float
confidence: float
latency_ms: int
class MultiModalAuthenticator:
"""
多模态生物识别认证器
====================
融合策略:
1. 面部(主) - 上车时检测
2. 声纹(辅) - 首次说话时验证
3. 步态(持续) - 行驶中持续验证
安全等级:
- Level 1: 面部通过 → 基本认证
- Level 2: 面部+声纹通过 → 强化认证
- Level 3: 面部+声纹+步态通过 → 最高认证
认证级别→可用功能:
- Level 1: 启动发动机+基础驾驶
- Level 2: +访问个人数据+支付
- Level 3: +高级功能+远程控制
"""
def __init__(self):
self.weights = {
'face': 0.5,
'voice': 0.3,
'gait': 0.2
}
self.thresholds = {
'level_1': 0.60,
'level_2': 0.80,
'level_3': 0.90
}
def authenticate(self, scores: list) -> dict:
"""
多模态认证
Args:
scores: [BiometricScore, ...]
Returns:
{
'authenticated': bool,
'level': int (1-3),
'confidence': float,
'modalities_used': list,
'features_unlocked': list
}
"""
total_score = 0
modalities_used = []
for s in scores:
if s.confidence > 0.5:
weighted = s.score * self.weights.get(s.modality, 0)
total_score += weighted
modalities_used.append(s.modality)
level = 0
features = []
if total_score >= self.thresholds['level_3']:
level = 3
features = ['engine', 'driving', 'personal_data',
'payment', 'advanced', 'remote']
elif total_score >= self.thresholds['level_2']:
level = 2
features = ['engine', 'driving', 'personal_data', 'payment']
elif total_score >= self.thresholds['level_1']:
level = 1
features = ['engine', 'driving']
else:
level = 0
features = []
return {
'authenticated': level > 0,
'level': level,
'confidence': total_score,
'modalities_used': modalities_used,
'features_unlocked': features
}
if __name__ == "__main__":
auth = MultiModalAuthenticator()
scores = [
BiometricScore('face', 0.95, 0.9, 500),
BiometricScore('voice', 0.88, 0.85, 1500),
]
result = auth.authenticate(scores)
print(f"面部+声纹: Level {result['level']}, 置信度 {result['confidence']:.2%}")
print(f" 可用功能: {result['features_unlocked']}")
scores = [BiometricScore('face', 0.92, 0.88, 500)]
result = auth.authenticate(scores)
print(f"\n仅面部: Level {result['level']}, 置信度 {result['confidence']:.2%}")
scores = [
BiometricScore('face', 0.97, 0.95, 500),
BiometricScore('voice', 0.90, 0.88, 1500),
BiometricScore('gait', 0.88, 0.75, 3000),
]
result = auth.authenticate(scores)
print(f"\n三模态: Level {result['level']}, 置信度 {result['confidence']:.2%}")
print(f" 可用功能: {result['features_unlocked']}")
|