Smart city
Executive Summary The Smart Access Signal System (SASS) is an AI-driven, modular traffic management and public safety solution designed to retrofit existing intersection infrastructure globally. SASS dynamically adapts traffic signal timing based on real-time pedestrian categorization—specifically prioritizing high-vulnerability groups including visually impaired, hearing impaired, elderly, and youth pedestrians. Equipped with multi-modal detection, automated traffic enforcement, emergency vehicle override, and advanced threat detection capabilities, SASS bridges the gap between urban accessibility, traffic control, and municipal law enforcement Vision AI Pedestrian & Asset Recognition Adaptive Identification: Utilizes computer vision models to identify specialized mobility aids, including white canes, guide dogs, strollers, and wheelchairs. Automated Dynamic Timing: Automatically adjusts signal duration based on the pedestrian’s mobility profile to guarantee safe, stress-free clearance across intersections Custom Control Panel: A physical, high-visibility tactile base integrated into traffic signal poles with tactile, audio, and visual feedback buttons. Vulnerable Pedestrian Indicators: Visually Impaired Crossing: Triggers extended timing along with localized acoustic directional cues (beeps/voice alerts). Hearing Impaired Crossing: Triggers high-contrast visual signal enhancements and ambient driver alert indicators. System most send real time notification to local police this notification most be included in all GPS platforms Child / Senior Crossing: Adjusts clearance intervals to account for lower walking speeds and shorter pedestrian profiles. Driver Notification Displays: External LED messaging panels alert oncoming drivers to the specific pedestrian profile currently crossing

Overall Score
78/100
AI Summary
The Smart Access Signal System is an AI-powered, modular traffic management solution that enhances urban intersection safety by dynamically adjusting signal timing and providing real-time alerts based on the specific mobility profiles of vulnerable pedestrians.
Strengths
- ✓ Extremely high due to the global push for urban accessibility, sustainability, and the integration of AI into existing infrastructure to reduce congestion and improve safety.
Executive Summary The Smart Access Signal System (SASS) is an AI-driven, modular traffic management and public safety solution designed to retrofit existing intersection infrastructure globally. SASS dynamically adapts traffic signal timing based on real-time pedestrian categorization—specifically prioritizing high-vulnerability groups including visually impaired, hearing impaired, elderly, and youth pedestrians. Equipped with multi-modal detection, automated traffic enforcement, emergency vehicle override, and advanced threat detection capabilities, SASS bridges the gap between urban accessibility, traffic control, and municipal law enforcement
Vision AI Pedestrian & Asset Recognition
Adaptive Identification: Utilizes computer vision models to identify specialized mobility aids, including white canes, guide dogs, strollers, and wheelchairs.
Automated Dynamic Timing: Automatically adjusts signal duration based on the pedestrian’s mobility profile to guarantee safe, stress-free clearance across intersections
Custom Control Panel: A physical, high-visibility tactile base integrated into traffic signal poles with tactile, audio, and visual feedback buttons.
Vulnerable Pedestrian Indicators:
Visually Impaired Crossing: Triggers extended timing along with localized acoustic directional cues (beeps/voice alerts).
Hearing Impaired Crossing: Triggers high-contrast visual signal enhancements and ambient driver alert indicators.
System most send real time notification to local police this notification most be included in all GPS platforms
Child / Senior Crossing: Adjusts clearance intervals to account for lower walking speeds and shorter pedestrian profiles.
Driver Notification Displays: External LED messaging panels alert oncoming drivers to the specific pedestrian profile currently crossing
