Difference between revisions of "Facial recognition in Ongole"

Revision as of 20:39, 27 November 2022

In order to monitor the attendance and work of sanitation staff, the Ongole Municipal Corporation are making use of facial recognition cameras. Presently, the municipal corporation makes use of thumbprint impression systems to record attendance, but they believe that workers only attend the workplace to put in the thumbprint impression and do not do the required work. Hence, they believe that surveillance through facial recognition cameras will ensure better work practices.

Details

Products and Institutions:

Product Deployed	Unknown Products 0086
Institutions ⠉	Unknown Institution 0085
Datasets	Unknown Dataset 0134
Search software

Status and Events:

Status	Ongoing
Events	Start (8 December 2019, Documented, , No description)
Start Date
End Date

Users:

Involved Entities	Unknown Institution 0085
Managed by	Ongole Municipal Corporation
Used by	Ongole Municipal Corporation

Location:

City	Ongole
Country ⠉	India

Loading map...

Description[ ]

At present, all municipal bodies in the district including OMC use biometric thumb impression system for recording staff attendance. However, from time to time reports emerge that sanitation employees do not attend to their duties and simply come in the evening and make a thumb impression to ensure their exit record. 1

To put a stop to these unethical practices, municipal officials in the district have been ordered to make arrangements for surveillance of their sanitation workers. 1

“We believe the new facial recognition system will aid in assessing the diligence of all sanitary workers. If all employees attend to their duties, there will be no accumulation of garbage,” OMC commissioner P Niranjan Reddy said. 1

References

a b c d "Facial recognition to monitor sanitary workers in Andhra's Ongole district". (2019) <https://www.newindianexpress.com/states/andhra-pradesh/2019/dec/08/facial-recognition-to-monitor-sanitary-workers-in-andhras-ongole-district-2073185.html> Accessed: 2022-11-21

@@ Line 12: / Line 12: @@
 |Datasets Used=Unknown Dataset 0134
 |Software Deployed=Unknown Products 0086
 |Summary=In order to monitor the attendance and work of sanitation staff, the Ongole Municipal Corporation are making use of facial recognition cameras.
+Presently, the municipal corporation makes use of thumbprint impression systems to record attendance, but they believe that workers only attend the workplace to put in the thumbprint impression and do not do the required work. Hence, they believe that surveillance through facial recognition cameras will ensure better work practices.
 }}
 <blockquote> At present, all municipal bodies in the district including OMC use biometric thumb impression system for recording staff attendance. However, from time to time reports emerge that sanitation employees do not attend to their duties and simply come in the evening and make a thumb impression to ensure their exit record. [[CiteRef::thenewindianexpressFacialRecognitionMonitor19]] </blockquote>

Facial recognition in Ongole
Excluded from graph
Deployment Status	Ongoing
Deployment Start Date
Deployment End Date
Events	* uses Record type Property:Has event Start (8 December 2019, Documented, , No description)
City	Ongole
Country	India
Involved Entities	Unknown Institution 0085
Keywords
Technology Deployed	Unknown Products 0086
Information Certainty	Documented
Primary sources	1
Datasets Used	Unknown Dataset 0134
Deployment Type	Analytics, Biometric Cameras
runs search software
managed by	Ongole Municipal Corporation
used by	Ongole Municipal Corporation
Potentially used by
Information Certainty	0
Summary	In order to monitor the attendance and work of sanitation staff, the Ongole Municipal Corporation are making use of facial recognition cameras. Presently, the municipal corporation makes use of thumbprint impression systems to record attendance, but they believe that workers only attend the workplace to put in the thumbprint impression and do not do the required work. Hence, they believe that surveillance through facial recognition cameras will ensure better work practices.