Safety Upgrade for Logistics Vehicles in Brazil

In January 2025, as the Chinese Spring Festival approached, the busy atmosphere of bidding farewell to the old and welcoming the new was in full swing. At this time, Sales J received an email from Brazil in his inbox—the sender was a long-term client with whom we had maintained in-depth cooperation for three years. Specializing in the commercial vehicle sector in Brazil, this enterprise not only focuses on the maintenance services of logistics vehicles but also engages in related production businesses. Its procurement manager holds unique insights into the industry. What seemed like a routine business communication email turned out to be a brand-new starting point for CISBO to deeply integrate AI algorithms with blind spot detection technology.

Sales J carefully studied the content of the email at the first opportunity and promptly got in touch with the Brazilian client via phone. Through in-depth communication, we clearly understood the tough predicament the client was facing. As a core hub in Brazil's supply chain system, the client's logistics vehicles had to travel year-round between long-haul trunk lines, urban distribution outlets, and large-scale logistics parks, operating in complex and ever-changing scenarios. Coupled with multiple factors such as weak road infrastructure and rugged road conditions in some local areas, driver fatigue during long-distance driving, dense pedestrian flow on urban roads, frequent cross-operation of vehicles in parks, and insufficient light for nighttime transportation, safety issues such as blind spot collision risks during high-speed lane changes, scratch accidents during operations in parks, and visual interference during nighttime driving occurred frequently. These potential safety hazards not only directly threatened the lives of drivers and increased vehicle maintenance costs but also easily caused delays in logistics transportation, affecting the operational efficiency of the upstream and downstream of the supply chain, and thus became a key bottleneck restricting the expansion of the client's business.

Potential Safety Hazards of Logistics Vehicles

• High dynamic blind spot risks: During urban distribution, motorcycles and small trucks often dart into right-turn blind spots unexpectedly; frequent overlapping operations of forklifts, handling vehicles and logistics trucks in parks easily lead to blind spot collisions; adjacent vehicles in rear view blind spots cause scratches or rear-end collisions during highway lane changes, and delayed rescue in remote areas seriously holds up timelines.
  
• Fatigue and stress from long-haul driving: Logistics drivers typically spend over 10 hours on the road daily. Having to monitor road conditions, cargo status and delivery timelines simultaneously, they are prone to distraction under dual pressure, with reaction speed dropping by more than 30%.
  
• Difficult target recognition in complex scenarios: Torrential rains in the Amazon rainy season, frost in southern Brazil in winter, cluttered cargo piles and temporary passages in logistics parks, high-beam interference at night and insufficient road lighting can all cause camera image distortion, making it impossible to accurately distinguish safe zones from risky targets.
  
• Lack of closed-loop logistics management: Logistics enterprises struggle to monitor drivers’ behaviors and vehicle blind spot risks in real time. Reliance on post-event video review fails to enable proactive control, and slow responsibility determination for accidents and cargo damage disputes drives up operational costs.
  

Core Advantages of CISBO C98AI-407
Upon gaining insight into customer needs, the CISBO R&D team immediately launched the development of a customized AI 360° Blind Spot Detection System for the Brazilian market. To adapt to the "long-haul trunk line + urban distribution" operational characteristics of local logistics vehicles, the R&D team conducted in-depth research on Brazil's road conditions, high-temperature and high-humidity climate, and logistics operation models, accumulating a vast amount of first-hand data. They adjusted parameters day and night and labeled a large number of local road condition images. During scenario simulation tests, hundreds of repeated tests were carried out for different scenarios such as rainstorms and long-distance driving. Ultimately, the customized C98AI-407 system was successfully launched three months later, building a dual guarantee of safety and efficiency for Brazil's logistics and transportation industry.

• Full-dimensional blind spot coverage with no dead ends
  Powered by 6 high-definition AI cameras, the system displays a 360° bird’s-eye view on the cab screen. It strengthens blind spot monitoring for right turns, reversing and low-speed driving in parks, and automatically activates close-up views for the 1.5-meter blind spot under the cargo box to accurately capture pedestrians and small equipment.
  
• AI-based accurate recognition for logistics scenarios
  The algorithm is specially trained for high-frequency logistics targets. It can identify 10 core categories including electric vehicles, pedestrians and forklifts, classify their statuses as stationary, low-speed moving or high-speed crossing, and trigger a triple early warning mechanism of visual marking, audio-visual alarm and voice prompt for high-risk targets.
  
• Stable operation in all working conditions to ensure timeliness
  The cameras feature a military-grade IP69K dustproof and waterproof shell, with a temperature tolerance range from -10℃ to 60℃, adapting to the frosty winters in southern Brazil and hot, humid tropical climates in the north. They can clearly capture targets within 50 meters under high-beam or heavy rain conditions, ensuring uninterrupted transportation in remote areas.
  

Impressive Results

• Dramatic reduction in safety risks: Scratch accidents of logistics vehicles decreased by 82%; forklift collision accidents in parks achieved zero occurrence; right-turn blind spot risk incidents dropped by 95%; cargo damage dispute rates reduced by 70%.
  
• Optimized driving fatigue and efficiency: Driver distraction improved by 70%; the fatigue score of long-haul drivers fell from 9.2 to 3.8 on a 10-point scale; daily effective transportation mileage increased by 200 kilometers; delivery timeliness compliance rate rose from 85% to 98%.
  
• Lowered enterprise operational costs: Accident compensation costs decreased by 65%; manpower costs for safety training and management reduced by 55%; rectification rate of irregular driving increased from 52% to 90%; comprehensive operational costs dropped by 18%.
  
• Higher satisfaction levels: 96% of drivers reported feeling safer with risk alerts; driver turnover rate decreased by 25%; customer satisfaction with cargo transportation safety rose to 99%.
  

Beyond the impressive performance metrics, the product’s stable operation has earned unanimous recognition from Brazilian clients, spanning from management to drivers.The Brazilian procurement manager spoke highly of it at the project review meeting: “The implementation of CISBO’s customized AI 360° Blind Spot Detection System has completely resolved the safety pain points in our long-haul trunk line and urban distribution operations. It is the core guarantee for the success of this logistics upgrade project!” Drivers also echoed their approval: “Previously, we were always on edge about blind spot risks when navigating the complex road conditions around São Paulo’s congested streets. Now we feel much more at ease behind the wheel!”

With over 20 years of experience in the on-board vision field, CISBO is committed to developing a multi-dimensional fusion system of vision + audio + radar to achieve full-range perception of static obstacles and dynamic vehicles, providing integrated people-vehicle-cargo safety guarantees. For more product details or solutions, please contact the CISBO official team.