Core Technology
Based on the foundation of proprietary technologies and a core “brain” built on a deep learning platform,
SenseTime has rapidly opened up AI application in multiple vertical scenarios.
Key Technology
  • 01Visual Perception
  • 02Camera Configuration
  • 03Mainstream Chips of the Automotive Cabin Industry
  • 04Quality Management System

01 / 04

Visual Perception

With SenseTime’s deep learning and computer vision technology, algorithms such as high-performance lightweight target detection, tracking and recognition, were widely adopted in the Driver Monitoring System, Occupancy Monitoring System and Facial Recognition Access System. The product is able to operate under complex lighting conditions such as dark light and backlight.

02 / 04

Camera Configuration

The solution adapts to mainstream in-cabin cameras(IR/RGB/RGB-IR) in the market to form an optimized quantitative indicators for image quality to ensure high product consistency on the system level.

03 / 04

Mainstream Chips of the Automotive Cabin Industry

Leveraging on SenseTime’s self-developed HPC and edge computing deployment framework, the solution utilizes the computing resource of automotive AI chips (NPU/DSP/GPU) targeting the mainstream ECUs in the automotive cabin industry to achieve low latency and less CPU/memory usage.

04 / 04

Quality Management System

SenseTime established a comprehensive quality management system, and was granted of the ISO26262 ASIL-B functional safety certification and ASPICE L2 certification in February 2020 and July 2020, respectively.

Technology
  • Visual Perception
  • Camera Configuration
  • Mainstream Chips of the Automotive Cabin Industry
  • Quality Management System

01 / 04

Visual Perception

With SenseTime’s deep learning and computer vision technology, algorithms such as high-performance lightweight target detection, tracking and recognition, were widely adopted in the Driver Monitoring System, Occupancy Monitoring System and Facial Recognition Access System. The product is able to operate under complex lighting conditions such as dark light and backlight.

02 / 04

Camera Configuration

The solution adapts to mainstream in-cabin cameras(IR/RGB/RGB-IR) in the market to form an optimized quantitative indicators for image quality to ensure high product consistency on the system level.

03 / 04

Mainstream Chips of the Automotive Cabin Industry

Leveraging on SenseTime’s self-developed HPC and edge computing deployment framework, the solution utilizes the computing resource of automotive AI chips (NPU/DSP/GPU) targeting the mainstream ECUs in the automotive cabin industry to achieve low latency and less CPU/memory usage.

04 / 04

Quality Management System

SenseTime established a comprehensive quality management system, and was granted of the ISO26262 ASIL-B functional safety certification and ASPICE L2 certification in February 2020 and July 2020, respectively.

Business
Partnership

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Business Partnership

Email: business@sensetime.com