Why Does a 360 Around View System Need AI Technology?

Traditional 360 around view systems mainly use multiple cameras and image stitching to help drivers see the area around the vehicle, solving the problem of limited visibility.

As commercial vehicles become more intelligent, simply expanding the field of view is no longer enough. Drivers also need to identify pedestrians and vehicles, assess potential risks, and detect possible collision or lane‑departure situations.

AI technology therefore upgrades a 360 around view system from:

Environmental visualization → Object detection → Risk assessment → Active Safety Warning

STONKAM integrates AI technology with 360 around view system, adding AI pedestrian and vehicle detection, BSD, FCW, and LDW to panoramic vision.

What Core AI Technologies Are Used in STONKAM AI 360 Around View System?

STONKAM AI 360 around view system combines 360° panoramic vision with AI algorithms, using a dual AI processing architecture and 2 TOPS computing power. It supports AI pedestrian and vehicle detection, BSD, FCW, LDW, and DMS functions.

The system captures surrounding images through multiple cameras, then performs image correction, stitching, and 360° panoramic processing before using AI algorithms for object detection, position analysis, and risk assessment.

Core technology process:

Multi‑camera capture → Image correction and stitching → 360° panoramic view → AI object detection → Risk assessment → Active Safety Warning

1. Dual AI Processing and 2 TOPS Computing Power

The system uses dual independent AI processing cores with up to 2 TOPS computing power, supporting real‑time processing of multi‑channel video and AI functions.

2. AI Pedestrian and Vehicle Detection

AI vision algorithms detect and identify pedestrians, cyclists, vehicles, and other targets in real time, while analyzing their positions to determine potential risks.

The control unit integrates AI computing power, with each camera supporting a pedestrian detection range of more than 10 meters.

3. LDW + FCW + BSD Active Safety Algorithms

STONKAM integrates LDW, FCW, and BSD algorithms for different safety scenarios:

● LDW: Detects lane markings and identifies unintended lane departure.

● FCW: Detects vehicles and other objects ahead to assess potential collision risks.

● BSD: Detects targets on both sides of the vehicle to identify risks in scenarios such as overtaking and parallel driving.

4. DMS Driver Status Analysis

In addition to external environmental perception, the system can support DMS algorithms to analyze driver status, detect fatigue and other abnormal conditions, and provide safety alerts.

By integrating 360° panoramic vision, AI object detection, BSD, FCW, LDW, and DMS, STONKAM AI 360 around view system upgrades vehicle vision from 360° environmental imaging to intelligent perception, risk assessment, and Active Safety Warning.

How Does STONKAM AI Technology Upgrade 360° Vision from “Seeing” to Intelligent Perception?

Traditional 360 around view systems provide a panoramic view of the vehicle surroundings, while drivers still need to identify pedestrians, vehicles, and potential hazards themselves.

STONKAM AI 360 around view system adds AI vision algorithms to detect objects, analyze their positions, assess risks, and trigger alerts.

What Is the Difference Between a Traditional 360 Around View System and AI 360 Around View System?

The STONKAM AI 360 perception process can be summarized as:

Visual capture → Image processing → 360° panoramic view → AI object detection → Position analysis → Risk assessment → Active Safety Warning

The key upgrade is not simply a wider view, but the ability to turn visual information into detectable, assessable, and actionable safety information.

Traditional 360: See the vehicle surroundings

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STONKAM AI 360: Detect surrounding objects

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Intelligent perception: Assess potential risks

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Active safety: Provide timely alerts

What AI Capabilities Should OEMs Consider When Selecting an AI 360 Around View System?

● AI perception: Can it accurately detect pedestrians, vehicles, and other surrounding objects across different vehicle types and operating conditions?

● Real‑time AI computing: Is there sufficient computing power for multi‑channel video analysis?

● Calibration and image stitching: Can the system quickly calibrate multiple cameras while maintaining a continuous panoramic view?

● AI function integration: Are pedestrian and vehicle detection, BSD, FCW, and LDW integrated with the 360° vision system?

● Vehicle and project adaptability: Can the solution be adapted to different vehicle structures, camera layouts, and safety requirements for OEM projects and batch deployment?

With extensive experience in vehicle vision technology, STONKAM integrates AI algorithms with 360 around view technology to provide intelligent perception, object detection, risk assessment, and active safety functions.

The solution supports construction equipment, forklifts, agricultural machinery, public transport, and special‑purpose vehicles, with experience covering OEM solution development, system integration, and batch deployment.

Which Vehicle Applications Can Benefit from STONKAM AI 360?

STONKAM AI 360 is suitable for vehicles with significant blind spots or requirements for intelligent safety upgrades, including:

● Trucks and logistics vehicles

● Buses and large passenger vehicles

● Construction equipment

● Forklifts and warehouse vehicles

● Agricultural machinery

● Special‑purpose vehicles

Camera layouts and AI functions can be configured according to vehicle structure, blind spot coverage, and specific safety requirements.

Conclusion

STONKAM AI 360 around view system combines 360° panoramic vision with AI pedestrian and vehicle detection, BSD, FCW, and LDW to upgrade vehicle vision from environmental display to intelligent perception and Active Safety Warning.

With AI algorithms, advanced image processing, and experience across multiple vehicle applications, STONKAM provides practical AI 360 vision solutions for OEMs, fleets, and system integrators.