Vaishnavi Ashok Desai,
Kazi Kutubuddin Sayyad Liyakat,
- Student, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
- Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India
Abstract
In an increasingly interconnected and safety-conscious world, the pervasive issues of intoxication and uncontrolled smoking continue to pose significant threats to public health, safety, and productivity. From impaired driving incidents to workplace accidents, and from chronic health conditions linked to smoking to the risk of fires, the societal and economic costs are staggering. However, a new frontier in preventative technology is emerging: sophisticated AI and sensor-based systems designed for the pre-detection of intoxication and smoking. These innovative solutions promise to shift our approach from reactive mitigation to proactive prevention, safeguarding lives and environments before harm can occur. Current methods for addressing intoxication and smoking often fall short. Breathalyzers are typically used after an incident or during a traffic stop. Smoking bans rely on human enforcement and are often violated, leading to secondhand smoke exposure and fire hazards. The limitations of these reactive approaches highlight a critical need for real-time, non-invasive, and intelligent systems that can identify potential risks before they escalate. The development of AI and sensor-based intoxication and smoking pre-detection systems marks a significant leap forward in our quest for safer and healthier communities. While ethical considerations and public acceptance remain vital hurdles to overcome, the potential to prevent countless accidents, health crises, and fatalities is immense.
Keywords: Artificial Intelligence, Sensors, Intoxication, Smoking, pre-detection
[This article belongs to Journal of Control & Instrumentation ]
Vaishnavi Ashok Desai, Kazi Kutubuddin Sayyad Liyakat. AI and Sensor Systems Revolutionizing Intoxication and Smoking Pre- Detection. Journal of Control & Instrumentation. 2025; 16(03):14-25.
Vaishnavi Ashok Desai, Kazi Kutubuddin Sayyad Liyakat. AI and Sensor Systems Revolutionizing Intoxication and Smoking Pre- Detection. Journal of Control & Instrumentation. 2025; 16(03):14-25. Available from: https://journals.stmjournals.com/joci/article=2025/view=232481
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Journal of Control & Instrumentation
| Volume | 16 |
| Issue | 03 |
| Received | 15/07/2025 |
| Accepted | 26/07/2025 |
| Published | 18/11/2025 |
| Publication Time | 126 Days |
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