Against the backdrop of rapid advancements in vehicle intelligence and connectivity, in-vehicle electronic systems are evolving from auxiliary components into core intelligent units. Across commercial vehicles, construction machinery, agricultural equipment, and special-purpose vehicles, increasingly complex operating environments and rising safety expectations are driving higher requirements for perception, human-machine interaction (HMI), and connectivity.

Regulatory frameworks established by UNECE continue to promote the adoption of advanced safety technologies in road vehicles. At the same time, industry insights from Association of Equipment Manufacturers highlight the accelerating shift toward intelligent, connected, and automated equipment in construction and agricultural sectors.

In parallel, McKinsey & Company points out that digitalization and automation technologies are increasingly being adopted across off-highway equipment, supporting safer and more efficient operations.

At this critical stage, STONKAM has completed a strategic upgrade of its brand positioning and product architecture. Positioned as “A global leader in intelligent vehicle safety solutions,” the company has established three core product pillars: AI Perception Device, AI Human Machine Interface, and AIoT—marking a new phase of development.

Aligning with Industry Trends

In-vehicle technology is evolving toward an integrated framework of perception, computing, and connectivity. Advances in AI algorithms, embedded computing platforms, and connected infrastructure continue to enhance the data processing and decision-making capabilities of vehicle systems.

At the same time, customer expectations are shifting—from product hardware performance to system integration, functional coordination, and data utilization. Intelligent vehicle solutions are moving from function products toward system-level capabilities.

In response, STONKAM has redefined its brand positioning and restructured its product architecture to better align with global market trends, strengthening both its technical capabilities and overall solution value.

Three Core Product Systems

STONKAM’s upgraded architecture is built around AI Perception Device, AI Human Machine Interface, and AIoT, forming a complete technology framework from sensing to interaction to data connectivity.

1. AI Perception Device

This system focuses on full-scenario sensing, integrating video and non-video technologies to enhance environmental awareness under complex operating conditions.

The portfolio includes AI cameras, IPC and LVDS cameras, as well as ultrasonic detectors, millimeter-wave radars, radar camera, LiDAR, and thermal cameras. These technologies improve blind spot detection, object recognition, and environmental adaptability, supporting safer operation and assisted decision-making.

2. AI Human Machine Interface

Designed around driver interaction, this system integrates display, control, and system scalability into a unified platform.

Key products include 360° surround view systems, camera monitor systems (CMS), wireless displays, and AI Displays, supporting multi-channel video input and flexible display configurations. In-vehicle displays are evolving toward more integrated and interactive interfaces, improving usability and operational efficiency.

3. AIoT

This system enables seamless connectivity between vehicles and cloud platforms, unlocking the value of operational data.

Built on AI dashcams, MDVR, and fleet management platforms, it integrates communication, positioning, and monitoring technologies to support data collection, transmission, and remote access. This enables real-time monitoring, fleet management, and remote diagnostics, supporting more efficient and data-driven operations.

STONKAM’s fleet management platform supports operational visibility, driver behavior management, and compliance-related functions, and can be integrated with third-party platforms such as Wialon, providing flexible deployment options.

Strengthening Global Competitiveness

With its new brand positioning and three core product systems, STONKAM has strengthened its capabilities across perception, interaction, and connectivity, making its technology framework clearer and more structured.
Looking ahead, STONKAM will continue to invest in AI, embedded systems, and AIoT technologies, while expanding applications across commercial vehicles, construction machinery, agricultural equipment, and special-purpose vehicles.

As in-vehicle systems continue to evolve toward more integrated and data-driven architectures, STONKAM will further develop its full-stack capabilities across perception, interaction, and connectivity, delivering reliable and innovative solutions that enable safer and more efficient vehicle operations.