Vision Security System

Face, Gender, Helmet & Mask Detection and Recognition

Face detection & Face Recognition

Enabled vision security system that detects face, gender, helmet, intrusion and number of person detection.

Project

100+

Happy Client

50+

Experience

20+

About Client

Ashok Leyland is a US $ 4.5 billion company with a footprint extending across 50 countries. It is one of the most fully integrated manufacturing companies of the globe. Also, the company is the second largest manufacturer of commercial vehicles in India, the 4th largest manufacturer of buses in the world, and the 19th largest manufacturers of trucks. 

Headquartered in Chennai, 9 manufacturing plants gives an international footprint – 7 in India, a bus manufacturing facility in Ras Al Khaimah (UAE), one at Leeds, United Kingdom and a joint venture with the Alteams Group for the manufacture of high-press die-casting extruded aluminum components for the automotive and telecommunications sectors, Ashok Leyland has a well-diversified portfolio across the automobile industry. Ashok Leyland has recently been ranked as 34th best brand in India.

The Challenge

  • Unsecured ATM's
  • Unreliable live feed
  • Unexpected Downtime
  • High maintenance costs
  • Absence of remote monitoring capability.

  • Lack of mask and helmet detection
  • Lack of face count & gender detection
  • Reduced asset lifespan
  • Frequent equipment failure
  • Risk of over-maintenance or under-maintenance.

The Solution

  • Face Detection: Bank ATMs can use face detection to identify customers and ensure that only authorized users can access their accounts. This can be done by capturing an image of the user’s face and comparing it to a database of authorized users.
  • Face Count: Face count can be useful in monitoring the number of customers using the ATM at any given time. This can help banks identify peak usage periods and adjust their staffing accordingly.
  • Mask Detection: With the ongoing COVID-19 pandemic, mask detection can be used to ensure that customers are wearing masks while using the ATM. This can help prevent the spread of the virus and protect both customers and bank staff.
  • Helmet Detection: In some countries, it is common for motorcyclists to wear helmets while riding. If an ATM is located near a busy road or highway, helmet detection can be used to ensure that motorcyclists are complying with local traffic laws and wearing their helmets when using the ATM.
  • Security: By combining face detection with mask and helmet detection, banks can ensure that only authorized users are accessing their accounts and that all safety protocols are being followed. This can help prevent fraud and improve overall security at Bank ATMs.

 

Result

Overall, the use of face detection, mask detection, and helmet detection at Bank ATMs can improve security, ensure compliance with safety protocols, and provide a better user experience for customers.

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