Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
IoT and Computer Vision for Enhanced Public Safety

IoT and Computer Vision for Enhanced Public Safety

Das, Shiplu
Biswas, Trisha

Paperback

General Computers

ISBN10: 6208432855
ISBN13: 9786208432850
Publisher: LAP Lambert Academic Publishing
Published: Mar 11 2025
Pages: 60
Weight: 0.21
Height: 0.14 Width: 6.00 Depth: 9.00
Language: English
The integration of Internet of Things (IoT) and Computer Vision has significantly revolutionized various industries, including smart cities, healthcare, transportation, and security. One of the most critical applications of this technological convergence is in street lighting systems. Traditional street lighting systems operate on fixed schedules or manual control, which often leads to inefficiencies in energy consumption and public safety. These systems frequently illuminate areas even when there is no pedestrian or vehicular movement, leading to excessive energy consumption and increased operational costs. Conversely, poorly lit or non-functional streetlights contribute to security risks, accidents, and increased crime rates in urban and rural areas.With the advent of smart lighting systems, powered by IoT and Computer Vision, the potential for optimizing energy usage and enhancing public safety has expanded tremendously. Object detection, a crucial aspect of computer vision, enables real-time identification and analysis of pedestrians, vehicles, and other objects in a given area.

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