Pre-Detection Systems Transfiguring Intoxication and Smoking Using Sensor and AI

Abstract

The ubiquitous problems of drunkenness and uncontrolled smoking continue to pose substantial hazards to public health, safety, and productivity in a world that is becoming more linked and protective of its safety. The costs to society and the economy are substantial, and they range from automobile accidents caused by impaired driving to accidents that occur in the workplace, from chronic health disorders that are connected to smoking to the risk of fires. A new frontier in preventative technology is emerging, however, and it is comprised of advanced artificial intelligence and sensor-based systems that are geared for the pre-detection of smoking and intoxication. The use of these cutting-edge solutions has the potential to transform our strategy from reactive mitigation to proactive prevention, thereby protecting lives and habitats through the prevention of potential harm. Intoxication and smoking treatments that are currently available frequently fall short of expectations. After an incident or after a traffic stop, breathalysers are often utilised to investigate the situation. As a result of human enforcement, smoking regulations are frequently disregarded, which causes people to be exposed to secondhand smoke and increases the risk of fire. Due to the limitations of current reactive procedures, there is an urgent requirement for real-time, non-invasive, and intelligent technologies that are able to recognise possible problems before they become more severe. When it comes to our efforts to make communities safer and healthier, the development of artificial intelligence (AI) and sensor-based drunkenness and smoking pre-detection systems represents a huge step forward. The potential to avoid a large number of accidents, health crises, and fatalities is enormous, even though there are still significant obstacles to overcome, such as ethical considerations and issues of public acceptance.