The client is a leading fleet management solutions provider in North America, offering in-vehicle terminals, driver behavior analytics, and fleet data platforms for the cargo transportation industry. To strengthen their solution’s competitiveness, they integrated nearly 20,000 STONKAM intelligent truck camera systems, enabling more reliable video monitoring, more accurate driver behavior detection, and more comprehensive safety management.

Key Customer Pain Points

● High risk of dangerous driving behavior

Driver fatigue due to long hours of driving, along with unsafe behaviors such as phone use, smoking, and speeding, easily leads to accidents.

● Difficulty in accident evidence collection

Theft, malicious damage, and driving accidents often lack video and data support, resulting in additional losses.

● Low fleet operational efficiency

The client aims to achieve integrated “video + data” management of the fleet, such as driving behavior data, positioning, alerts, and video evidence.

● High blind spot risk

Large trucks and freight vehicles have significant blind spots on the sides, during turns, and at trailer connections, leading to a high incidence of collisions, scratches, and turning accidents.

Solution

To address the customer’s specific needs, STONKAM provided a four-channel AI-integrated truck fleet camera systems​ solution:

● AI Driver Safety Camera (DMS)

Fatigue detection (eye closure, drowsiness, yawning)
Distraction detection (phone use, calling, prolonged head turning)
Smoking detection / Seatbelt non-use detection / Sunglasses recognition
Continuous monitoring of driving behavior to ensure driver safety and provide basis for driver training.

● AI Forward-Facing Camera (ADAS)

Smart driving assistance: Close following distance warning, sudden braking detection, speeding monitoring
Road sign recognition: Speed limit sign recognition, STOP sign recognition
Early warning of potential risks to reduce accident probability.

● MDVR Intelligent Mobile Digital Video Recorder

High-definition video monitoring with large-capacity local storage
Supports daily vehicle status checks and automatic report generation
Enables remote monitoring, recognition, alerts, recording, and remote reporting
Supports API expansion for integration with customer systems.

● Ultra-Wide-Angle Side Monitoring Cameras for Trucks

Expands blind spot visibility to monitor vehicle surroundings
Combined with the forward-facing camera to form a surround-view system, completing the comprehensive truck camera systems​ solution.

Project Outcomes

● Significant improvement in driver safety awareness

DMS-captured behavior data supports targeted training, reducing violations and enhancing safe driving habits.

● Reduction in accidents and related costs

Real-time video and event reports strengthen anti-theft measures, speed up liability determination, reduce insurance disputes, and improve fleet profitability.

● Comprehensive enhancement of vehicle safety

The system minimizes blind-spot accidents and driver errors, especially in nighttime, narrow-lane driving, reversing, and lane-changing.

● Improved fleet operational efficiency

With driving data, alerts, and video analytics, the client can assess performance, optimize routes and fuel use, and monitor vehicle status—shifting from passive to data-driven management.

Client Testimonial

“The stability of STONKAM’s MDVR and the accuracy of its AI cameras have significantly improved our driver behavior analysis and vehicle operations. Their truck camera recording system​ provides exceptional value in accident evidence collection, driver training, and blind-spot risk control. STONKAM is a reliable partner, and we plan to expand its use across more vehicle types and scenarios.”

FAQ

1. Can the system operate in harsh weather?

Yes. Industrial-grade waterproof, dustproof, and WDR cameras ensure stable performance in rain, snow, nighttime, and backlight.

2. What is the storage capacity? Can data be accessed remotely?

The MDVR provides large-capacity storage and supports remote download, preview, and playback for evidence collection and scheduling.

3. Can it integrate with the customer’s fleet platform?

Yes. It supports API integration to sync events, videos, and alerts.

4. What is the AI camera's recognition accuracy?

Using deep-learning algorithms, it accurately detects risky driving behaviors and road signs with low false-alarm rates.

5. Can installation be customized by vehicle type?

Yes. STONKAM offers tailored monitoring solutions for tractors, trailers, vans, etc.

6. Does the AI algorithm need extra hardware? Is it expandable?

No extra host is required. One unit integrates DMS, ADAS, BSD, APC, and 360, supports H.264/H.265 intelligent linkage, ROI processing, and customer algorithm integration.

STONKAM

As a National “Little Giant” Enterprise, with 20+ years in in-vehicle vision, STONKAM provides intelligent vehicle camera systems across 150+ countries, trusted globally for quality, innovation, and reliability.For more information about our solutions, please feel free to contact us!