As in-vehicle monitoring and intelligent systems continue to evolve, STONKAM has built a comprehensive architecture centered on vehicle perception, interaction, and data connectivity. This includes three core segments: AI Perception Device, AI Human Machine Interface, and AIoT (Artificial Intelligence & Internet of Things)—covering the full in-vehicle intelligence value chain.

As the layer closest to real-world environments, the AI Perception Device is evolving from a traditional sensing module into an integrated unit combining perception, computing, and pre-processing. Its core capability lies in accurately and reliably capturing environmental information, directly impacting overall system performance.

Technology Trend: Multi-Sensor Fusion

According to reports from Off-Highway Research and MarketsandMarkets, increasing demand for safety and intelligence in commercial vehicles and off-highway equipment is accelerating the adoption of multi-sensor fusion solutions.

Different sensors offer complementary strengths:
● Cameras (Visual AI Perception) provide intuitive and information-rich environmental data
● Radar-based sensors (Non-visual AI Perception) deliver stable detection of distance and speed, especially in challenging conditions

STONKAM enables flexible sensor configurations based on specific scenarios, balancing performance and cost. Overall, perception systems are evolving toward multi-sensor collaboration, with STONKAM building capabilities across both Visual AI Perception and Non-visual AI Perception.

Product Portfolio: Full-Scenario Perception

1. Visual AI Perception: Intuitive and Information-Rich

Visual perception remains the most direct and widely used method. STONKAM’s AI cameras integrate onboard algorithms to support multiple intelligent functions:

● Blind Spot Detection for safer operations
● Driver monitoring to reduce human-related risks
● ADAS functions to minimize accident risks
● Cargo Space Monitoring for optimized loading
● Bus Passenger Counting for refined fleet management

In addition, STONKAM offers a full range of camera solutions:
HD cameras for reliable basic monitoring
Network and automotive Ethernet cameras for improved image quality, transmission stability, and system integration

2. Non-visual AI Perception: All-Weather Adaptability

While visual systems are powerful, performance can degrade in poor visibility or occlusion. Non-visual sensors provide critical redundancy.
STONKAM’s Non-visual AI Perception devices include:

● Radar Camera: Combines camera and radar for stable detection of vehicles, pedestrians, and obstacles
● LiDAR: High-precision distance measurement and 3D detection, ideal for Blind Spot Detection and positioning
● Thermal Cameras: Enable all-weather perception using infrared and visible light
● Millimeter Wave Radars: Reliable mid-range detection with alert capabilities
● Ultrasonic Detectors: Suitable for short-range detection and obstacle avoidance

Through sensor fusion, STONKAM achieves all-weather, full-scenario perception coverage, significantly improving system reliability.

AI at the Edge: Smarter Front-End Devices

With AI computing shifting toward edge devices, in-vehicle systems are becoming more intelligent at the front end.

STONKAM integrates AI algorithms directly into perception devices to handle tasks such as object recognition and event detection locally. This reduces unnecessary data transmission, lowers backend workload, and improves real-time response.

Even in complex environments, optimized algorithms ensure high accuracy and stable performance.

Conclusion

AI Perception Devices are evolving from vision-centric systems to multi-sensor fusion with integrated AI capabilities. Beyond data collection, they now enable intelligent preprocessing, providing high-quality inputs for backend decision-making and human-machine interaction.

Following this trend, STONKAM continues to enhance its integrated portfolio of Visual and Non-visual AI Perception solutions, while pushing AI capabilities to the edge. Together with its AI Human Machine Interface and AIoT systems, the AI Perception Device serves as a critical foundation for scalable, reliable, and high-value in-vehicle intelligence.