Use Case

• Transportation and Logistics Industry

  Achieving Zero Traffic Accidents with LLM-based Vehicle Near-Miss Analysis

  

  Issue

  Although dashcams have become widespread, it was unrealistic for administrators to check all the footage to identify truly dangerous near-miss driving situations among the enormous volume of recorded data. Moreover, since event detection such as sudden braking only identifies the action, it was hard to understand the underlying reasons—making targeted guidance difficult according to user feedback.

  Solution

  DMP’s behavioral recognition AI analyzes both interior and exterior footage from dashcams. The LLM understands and extracts high-risk behaviors such as “distracted driving while operating a smartphone,” not just simple “distracted driving.” It also differentiates between “appropriate sudden braking due to pedestrian detection” and “dangerous sudden braking due to inattentiveness,” enabling sophisticated contextual analysis of driving behavior.

  Effect

  Operating managers only need to check truly dangerous near-miss footage extracted by AI, dramatically reducing their workload. Furthermore, the concrete situation explanations generated by LLM enable more accurate and objective instruction to drivers, greatly contributing to improved driving manners and a fundamental reduction in accidents.

• Facility Management

  Nishio Rent All Co., Ltd. "AI Skateboarder Detection System"

  

  Issue

  At the facility's R&D International Exchange Center, unauthorized skateboarding was causing problems such as noise and equipment damage.

  Solution

  By implementing our AI system, we were able to accurately detect and issue warnings only for skateboarding activity. This achieved a dramatic reduction of nuisance behavior without the need for 24-hour security staff.

  Effect

  The system contributes to both the security of the facility and the reduction of management costs, helping to maintain asset value.

  Customer Feedback

  The construction and infrastructure industries are facing a severe labor shortage, and labor-saving through AI utilization is an urgent management issue.
  I am convinced that this innovative solution from DMP, which realizes both enhanced safety and cost reduction, will become the new standard for the industry. We will continue to provide highly effective solutions to facility managers across the country.
  Zenhiko Fujita
  Executive Officer, General Manager of Technical Development Department
  Nishio Rent All Co., Ltd.

• Retail and Service Industry

  Loss Reduction through Suspicious Behavior Detection in Stores

  

  Issue

  Reduce product loss from shoplifting in stores without relying solely on the experience and intuition of staff.

  Solution

  AI learns behavioral patterns that may indicate potential shoplifting, such as lingering in the same aisle for a long time or persistently watching a specific product shelf. When suspicious behavior is detected, it notifies the staff.

  Effect

  Encourages staff to approach customers at appropriate times, thereby contributing to the reduction of shoplifting incidents.

• Prevention of Secondhand Smoke

  Detection of Smoking in Non-Smoking Areas

  

  Issue

  Since the enactment of the Health Promotion Act in 2002, efforts to promote non-smoking and separation of smoking areas have progressed in various places such as public transportation and offices. It is an obligation for business operators to make efforts, and companies are required to take appropriate measures.

  Solution

  Detect and issue warnings for smoking in non-smoking areas.

  Effect

  Continuous monitoring and warning prevent smokers’ violations of rules and help prevent secondhand smoke.

• Bicycle Parking

  Detection of Illegal Bicycle Parking and Immediate Notification

  

  Issue

  With the increase in shared bicycle usage, violations of parking manners such as parking on braille blocks or fire hydrants have become a growing problem in recent years.

  Solution

  By monitoring bicycle parking areas, illegal parking such as exceeding designated spaces can be detected and warned, and immediate notifications enable staff to respond quickly.

  Effect

  This suppresses violations of bicycle parking manners and promotes increased awareness among users. It ensures the maintenance of safe and comfortable public spaces and enables improved operational efficiency.