AI-Powered Safety Upgrade

August 2025. Shenzhen was engulfed by the scorching heat of midsummer. The midday sun blazed intensely, dazzling the eyes, and the outdoor temperature soared above 35°C—undoubtedly one of the hottest months of the year in the city. Inside the office, cold air from the air conditioner kept blowing, yet it failed to dispel Salesman A’s concentration in the slightest. He leaned over to carefully adjust the mobile phone audio and video recording equipment on the desk, sliding his fingers across the screen repeatedly to check that the microphone picked up clear, noise-free audio. He also adjusted the angle of the phone stand multiple times to ensure the camera fully captured his front profile. The reason for such meticulousness was that he was about to have a crucial video call with an Indian client that day—a meeting scheduled in advance as early as Monday. The client was a long-term, steady customer who had been purchasing the PWAS product series. Over years of cooperation, they had always maintained a smooth communication rhythm and a solid foundation of mutual trust. The core purpose of this video call was that the client had proactively raised new business needs, hoping to conduct in-depth discussions on cooperation regarding the AI blind spot product series. This made Salesman A attach great importance to the meeting; he began sorting out relevant materials and adjusting the equipment half a day in advance to make thorough preparations for efficient communication. At the start of the conversation, the Indian client frankly shared the numerous challenging difficulties they were currently facing in project operations.

Safety Hazards in the Operation of Construction Site Engineering Vehicles

• Unpredictable dynamic risks: When construction workers, porters, or small engineering equipment suddenly enter the operating radius, drivers relying solely on visual observation often lack sufficient reaction time, leading to safety accidents.
  
• Distracted operational focus: Drivers must monitor loading progress, surrounding obstacles, and command signals simultaneously. Prolonged work easily causes fatigue and distracts attention.
  
• Poor target recognition in harsh environments: In conditions like dust, heavy rain, and strong night-time glare, image clarity drops, making it hard for traditional cameras to distinguish between construction workers, building material piles, and temporary barriers.
  
• Fragmented management data: Relying only on video recordings makes it impossible to automatically count key data such as operation trips and risk incidents, hindering effective job site safety management.
  

Core Advantages of CISBO AI 360° Blind Spot Detection System
Faced with the core pain points of the Indian client, the CISBO R&D team immediately launched an intensive research and development mode. To solve the problem of dynamic risk prediction, they rooted themselves in test sites and actual operation scenarios, recording data under dust and heavy rain during the day, and repeatedly debugging algorithms in the laboratory at night. The bottleneck of recognition accuracy in harsh environments made them go through countless cycles of "testing - overturning - restructuring". From the formation of the initial plan to the final launch of the product C98AIR-410-14B, the team members took the office as their home, and through their perseverance through numerous sleepless nights, they transformed the client's pain points into the product's highlights.

• Intelligent target recognition and classification: The algorithm is calibrated for the low-speed, heavy-load characteristics of construction vehicles. It can automatically identify over 10 common targets including construction workers, small engineering equipment, loaders, building material piles, and temporary barriers, and accurately classify them into three levels: Safe, Warning, and Dangerous.
  
• Dynamic trajectory prediction and early warning: AI algorithms analyze target movement trajectories. If a vehicle is detected to cross the operating area, the system triggers audio-visual alarms 2–3 seconds in advance, allowing ample reaction time.
  
• Adaptive optimization for harsh environments: The camera features a wear-resistant shell with an IP69K dustproof and waterproof rating, capable of withstanding dust, gravel impacts, and high-pressure washing on job sites. It ensures accurate risk identification even in night-time, dusty, or rainy conditions.
  

Impressive Results: Dual Upgrade in Safety and Efficiency

• 85% reduction in accident risks: During the pilot period, collision risks between construction vehicles and workers or small equipment dropped from an average of 8 per month to 1, with zero major safety accidents reported.
  
• 25% increase in operational efficiency: Drivers no longer need to frequently turn to check the surroundings, significantly improving focus. The average daily trips per vehicle rose from 18 to 22.5, and the error rate of material loading/unloading decreased by 70%.
  
• 45% cut in management costs: The system automatically generates daily operation reports with data on risk incidents, target recognition statistics, and operation coverage. Safety officers can conduct refined safety assessments without manually screening videos.
  
• Reduced labor intensity for drivers: The active early warning function alleviates mental stress. Pilot feedback shows that driver fatigue scores dropped from 8.5 to 3.2 on a 10-point scale.

Behind the impressive data lies unanimous recognition from the Indian client, ranging from the project manager to frontline workers. In the thank-you letter summarizing the project, the project manager clearly stated: "This system has accurately addressed the safety and efficiency pain points in our construction site operations. The automated data statistics have further empowered our management, serving as a core guarantee for the efficient progress of the project." Workers also feedback one after another: "The active early warning function allows us to no longer stay on edge all the time. We are more focused and assured during operations, and our sense of fatigue has been greatly reduced." The dual verification of data and word-of-mouth not only demonstrates the core value of the product but also strengthens the foundation of trust for in-depth cooperation between CISBO and the Indian client.

Currently, CISBO’s intelligent on-board systems cover a wide range of equipment including construction vehicles, muck trucks, concrete mixers, and mining machinery, serving customers in more than 150 countries and regions worldwide. For more product details or solutions, please contact the CISBO official team at any time.