According to automotive electronics architecture research by McKinsey & Company, vehicle electronic systems are evolving from distributed architectures toward centralized computing platforms. More driver assistance, surround-view monitoring, and vehicle status data are being integrated into unified display and control terminals, driving the adoption of advanced vehicle HMI display solutions.
Under this trend, conventional in-vehicle display systems can no longer meet the increasing demands for intelligence, safety, and system integration. The vehicle HMI display is evolving from a single information display device into a critical interaction gateway for vehicle vision systems and data management platforms.

What is the STONKAM AI Vehicle Tablet System?

The STONKAM AI Vehicle Tablet System integrates multiple AI capabilities such as ADAS, BSD, and DMS. Through a unified in-vehicle intelligent display terminal, it enables centralized presentation of driving assistance information while supporting integrated display, operation, and data interaction management.

Why the STONKAM AI Vehicle Tablet Is a Key Gateway to the AI Human-Machine Interface？

In an AI Human Machine Interface architecture, data sources are diverse and system complexity is high. The in-vehicle display terminal becomes a critical hub for information aggregation and interaction execution. In this context, the AI Vehicle Tablet with integrated AI algorithm capabilities is becoming a key gateway for intelligent vehicle operations.
The STONKAM AI Vehicle Tablet System serves three core gateway functions:
● Perception Gateway: Integrates camera inputs and AI recognition data
● Decision Gateway: Outputs driving assistance and risk warning information
● Control Gateway: Enables unified interaction management across multiple devices
As the information hub of the AI Human Machine Interface, the STONKAM AI Vehicle Tablet plays a critical role in visualization, multi-source data integration, and interactive control, making it a core system entry point.

What Real Problems Does the STONKAM AI Vehicle Tablet System Solve?

In real-world operations, vehicles typically face the following challenges:
● Dispersed multi-camera data with no unified management
● Blind spots that cannot be identified in real time
● Excessive cognitive load on drivers
● Complex multi-system operations with low efficiency
The STONKAM AI Vehicle Tablet System leverages AI algorithm fusion and multi-source data integration to consolidate complex information into a single in-vehicle intelligent display screen, enabling risk visualization, centralized information management, and simplified operation.

From Conventional Displays to AI Vehicle Tablets: How to Choose the Right Solution?

Display system selection depends on information complexity across different applications:
Conventional in-vehicle monitors:
Used for basic video display and vehicle status visualization, suitable for standard operational scenarios.
STONKAM AI Vehicle Tablet System:
Designed for multi-camera, multi-system collaboration, and AI analytics scenarios, enabling:
● Real-time risk detection
● Multi-stream video fusion
● AI-driven driver assistance
● Fleet data connectivity
When vehicles operate in complex or high-risk environments, the STONKAM AI Vehicle Tablet becomes the more suitable solution.

What Are the Key Capabilities of the STONKAM AI Vehicle Tablet System?

1.  AI Vehicle Instrument Monitor

The STONKAM AI Vehicle Instrument Monitor is designed for construction vehicles, forklifts, and logistics equipment, providing a stable, scalable in-vehicle visualization and management platform.
● Visualized instrument cluster: Combines pure instrument data with video overlay UI, displaying driving mode, speed, alarms, and key vehicle information for accurate driver awareness
● OEM customization & automotive-grade hardware: Supports model-based customization with automotive-grade SoC chips and a high-safety software architecture
● Integrated AI capabilities: Supports RFID vehicle management, AI safety alerts, system monitoring, and vehicle data queries

2.  7-inch / 10.1-inch Vehicle Tablet

The STONKAM 7-inch / 10.1-inch AI Vehicle Tablet is widely used in construction machinery and logistics operations, enabling centralized processing and fusion display of multi-channel video and AI algorithms.
● Built-in AI algorithms: Supports up to 6 AI algorithm configurations (ADAS, BSD, DMS), enabling real-time multi-object detection and intelligent recognition for advanced driver assistance
● 4G/5G remote fleet management: Connects to the AI fleet management platform for real-time vehicle monitoring and operational data analysis, enabling cloud-vehicle integration

3.  15-inch Vehicle Tablet

The STONKAM 15-inch AI Vehicle Tablet delivers high computing power and multi-system integration for complex operational environments, enabling centralized vehicle information display.
● Android Human Machine Interface compatibility: Supports flexible development and multi-scenario application integration
● High-performance computing: CPU + GPU + NPU architecture ensures efficient AI recognition, image processing, and smooth visualization
● 360° AVS & multi-camera AI fusion: Supports 3D surround-view monitoring and up to 8 AI cameras for multi-screen monitoring and intelligent warnings
● Integrated communication capability: Supports CANBUS + ISOBUS for vehicle data communication and system interoperability

Which Vehicles Does the STONKAM AI Vehicle Tablet System Apply To?

The system is widely deployed across multiple intelligent vehicle applications:
1.Construction machinery operations: Applicable to excavators, loaders, and mining transport vehicles. AI vision detects blind spots and issues early collision warnings. Supports 4G/5G connectivity with the AI fleet management platform for full equipment interconnectivity.
2.Logistics and warehousing: Applicable to forklifts and trucks. The system centralizes vehicle status display, allowing real-time access to operational parameters and system data for improved management efficiency.
3.Agricultural machinery operations: Applicable to harvesters, seeders, and tractors. Multi-camera fusion and AI environmental perception assist in route judgment and equipment monitoring, improving safety and efficiency.
4.Special-purpose vehicles: Applicable to sanitation trucks, sweepers, and water trucks. The system detects pedestrians and vehicles in real time and provides safety alerts for mixed traffic environments.

With the continuous advancement of vehicle electronics intelligence, in-vehicle display systems are evolving from standalone visualization tools into core nodes for vehicle information and safety management. AI Vehicle Tablets with open architecture, high reliability, and scalable intelligence are becoming key enablers of next-generation vehicle systems.
As a core entry point of the AI Human Machine Interface, the STONKAM AI Vehicle Tablet System integrates AI algorithms, multi-camera fusion display, and 4G/5G remote fleet management. It is widely applied in heavy industry, logistics, and special-purpose vehicles, delivering safer, more efficient, and intelligent driving assistance and operational management solutions.
Looking ahead, STONKAM will continue advancing in-vehicle intelligent display and AI vision technologies, accelerating vehicle intelligence transformation and further expanding the adoption of the AI Human Machine Interface across industries.

FAQ

Q1: What is STONKAM AI vehicle tablet system used for industrial vehicles?
It is used to centralize multi-camera video, AI alerts, and vehicle data into one intelligent display, improving driving safety and operational efficiency in industrial vehicles such as construction, logistics, and agriculture.

Q2: How is the STONKAM AI Vehicle Tablet System different from a traditional vehicle display?
Compared with traditional vehicle monitors that only display video, STONKAM AI vehicle tablet system adds AI perception, multi-camera fusion, and real-time safety alerts for enhanced operational awareness.

Q3: How does the STONKAM AI Vehicle Tablet System work in real-time driving operations?
It collects multi-source camera data and vehicle signals, processes them through AI algorithms, and displays unified driving assistance information with alerts, enabling drivers to make faster and safer decisions.

Q4: How does STONKAM AI vehicle tablet system improve driver safety?
It uses AI algorithms to detect pedestrians, vehicles, and obstacles in real time, providing visual and audio alerts to reduce blind spots and collision risks.

Q5: Why choose the STONKAM AI Vehicle Tablet System over conventional solutions?
It improves safety and efficiency by reducing blind spots, lowering driver workload, integrating multiple systems, and enabling AI-driven real-time risk awareness in complex environments.

Q6: Can STONKAM AI vehicle tablet system connect to fleet management system?
Yes, it supports 4G/5G connectivity for real-time monitoring, data analytics, and integration with fleet management platforms.

Q7: STONKAM AI vehicle tablet system installation and retrofit compatibility?
It supports flexible installation with minimal modification, making it suitable for upgrading existing industrial and commercial vehicles.

Q8: What vehicles support STONKAM AI vehicle tablet system?
It is compatible with forklifts, excavators, loaders, mining trucks, agricultural machinery, and special-purpose vehicles.