AI REDEFINES MOBILITY
Experience the future of transportation with our advanced AI-driven autonomous systems. Transforming the way we move, one innovation at a time.
CORE TECHNOLOGY MATRIX
LiDAR Fusion Algorithm
Real-time multi-sensor data fusion with millisecond response
Neural Simulation Control
Deep learning-based intelligent decision system
5G V2X Encryption
Military-grade secure communication protocol
AI Chip Architecture
Self-developed automotive-grade NPU computing platform
Decision Optimization Engine
Multi-scenario adaptive decision system
Safety Redundancy System
Triple safety protection mechanism
AUTONOMOUS INTELLIGENCE
NOVA Autonomous Driving Platform
Next-generation intelligent driving system with integrated multi-sensor fusion and deep learning algorithms
技术参数
Computing Power
254 TOPS
System Latency
20 ms
Perception Accuracy
99.9%
Decision Time
100 ms
AR-HUD 3.0
沉浸式增强现实平视显示系统，实时路况信息投射
技术参数
视场角
15°
刷新率
120 Hz
亮度
12000 cd/m²
投射距离
7.5 m
车路协同 V2X
智能交通协同系统，打造高效互联的城市出行网络
技术参数
通信范围
300 m
传输延迟
10 ms
带宽
27 Mbps
可靠性
99.999%
Global Customers Trust Tormaysai's Millimeter-Wave Solution
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Developer Center
import tormaysai as ts
# 初始化 SDK
sdk = ts.SDK(api_key="your_api_key")
# 配置毫米波雷达参数
radar_config = ts.RadarConfig(
frequency=77, # GHz
bandwidth=4, # GHz
frame_rate=20 # fps
)
# 创建感知任务
perception = sdk.create_perception_task(
sensor_config=radar_config,
model_type="vehicle_detection"
)
# 开始实时数据处理
while True:
radar_data = sensor.get_frame()
results = perception.process(radar_data)
# 获取检测结果
for obj in results.detected_objects:
print(f"Object {obj.id}: {obj.classification}")
print(f"Position: {obj.position}")
print(f"Velocity: {obj.velocity}")
Sample code demonstrates how to use our SDK for millimeter-wave radar data processing and object detection.