FaceTagr | Face Recognition. Computer Vision. AI.

Fast and Accurate Enterprise Face Recognition. Advanced Video Analytics. Dashboards and Mobile App.
FaceTagr is very lightweight and the hardware can be customized based on cameras, features, deployment and parameters to track.
FaceTagr supports both on-premises as well as cloud based deployments. Hybrid installations are deployed when a centralization is needed with minimum bandwidth.

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FACE RECOGNITION
Automated real-time enterprise Face Recognition on Videos with LFW Accuracy Score of 99.4%. Deploy on edge or cloud.
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PEOPLE ANALYTICS
Uses existing CCTV cameras to accurately detect people, track people across cameras with location. Estimate age & gender.
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OBJECT DETECTION
Recognize hundreds of objects along with their location with precision, AI analytics to take action. Custom train objects.

Hardware

Camera Agnostic: Works with most of the standard retail cameras in the market.

Hardware Agnostic: Works on different processors. CPUs to GPUs based on need.

CCTV Feed:  Can be connected to an existing video infrastructure.

Deployment

CLOUD –  Deployed on Secure Enterprise Servers.

EDGE – Distributed processing. Great for reduced bandwidth applications.

ON-PREMISE – On-site deployment. Server sized based on number of cameras.

Scalability

Rugged distributed architecture for quick scalability.

Works with any standard CCTV, P2P, Webcams, Drone cameras, Mounted & Mobile cameras.

Works with just one reference photo for face recognition.

Products on a mobile, making a difference!

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SMYLE - An App that Tracks Missing Children
A CSR program we are proud of and very passionate about. We help missing children reunite with their families. We work with the Government agencies pro-bono to achieve this. If we can be of any help, please contact us.
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PATROL - Instant Verification with any smartphone
On the field since 2017, used by law enforcement/ investigation agencies, this app is a tool to verify a person instantly with cutting edge face recognition. Millions of checks done with thousands of success stories.
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FaceTyck - Face Attendance, Access Control & Visitor Management
Seamless & fast attendance with Facial Recognition. Contactless and secure opening of doors, turnstiles. Centralized dashboard & reports.
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Tech stack that keeps growing!

  • Face Recognition

    Real time face recognition on videos. FaceTagr is camera agnostic hence can support any video feed of standard. Every face in a video feed is compared against a reference database and provides matching results instantly. Recorded video feeds can be used as well.

  • People Counter

    Count number of people entering, number of people present in a zone or area, calculate density in a room or product, usage of spaces. All this with existing CCTV cameras and can eliminate sensors. The real time counts can be connected to IoT for personalization, sustainability etc..

  • Age & Gender Identification

    Estimation of age of people, categorization between adult and kids, gender identification from CCTV videos.

  • Anonymous People Tracking without Face Recognition

    Track people across cameras without tracking their face. Track their location by a specific area, zone, room or a location. Use Heat-maps that are accurate. Elimination of people is also built-in. Engagement time, Dwell time, Occupancy rates are provided.

  • CCTV Change Monitoring

    Cameras are deployed may be monitored in central control rooms in large organizations. FaceTagr tracks cameras automatically to monitor working condition, camera altered, re-positioned, hazy videos that becomes critical for maintenance and security.

  • Custom Object Identification

    FaceTagr provides 100+ pre-classified models that are deployed for object detection. The platform can be used to train and deploy models easily in a very short span of time as well.

Built for progressive organizations who want deep in'sights'!

NETRA

Secure Versatile System for the Armed Forces

Equipped with multiple options of cameras, the system can be deployed anywhere in less than 3 minutes time by a person who knows how to operate a smart phone.

  • Proprietary process for secure deployment.
  • The system works without any internet
  • Multiple notification options
  • Helmet mounted camera, drone camera, DFMD camera, long range cameras can be easily connected.

RETAIL AI

The offline cookie that brings eCommerce like analytics for brick and mortar retail

Equip your retail with AI that too with the use of existing installed CCTV cameras.

Measure accurate footfall with age and gender, peak and trough times during a day, week or a month, Identify returning customers to the store, measure engagement time with products and conversion rates, measure dwell time, direction and activity index of every customer.

If you have a face database of your loyal customers, meet and greet them as they enter with the help of FaceTagr’s mobile notification.

Knight AI

Where security is paramount, add a layer of automated surveillance & alerts

FaceTagr has rich experience in security and forensics. The experience has resulted in a lot of tools that can be configured based on the industry and use case.

Camera Monitoring: There are hundreds of cameras deployed but it is humanly impossible to notice a change to a camera. It is common pattern to alter the cameras before a crime happens. FaceTagr provides a crime prevention tool – Automated monitoring of  cameras and alerts if cameras are covered, altered, blurred, re-positioned.

People Monitoring: For some organizations someone being alone is a threat, for some it is sudden crowding, for some no one present is and for some having more than a certain number is a problem. We have configurable alerts for all. It is common for buildings, malls, schools to know real time the number of people inside and occupancy rates by area/ room. Knight AI dashboards help organizations keep tabs centrally.

Intrusion: Alert based on specific human or  intrusion or masked human. Implementation can be outdoor or indoor or a perimeter.

Human Screening: It can be an event or a place that deals with high value or a sensitive installation, a metal detector frisking and a hand rub search is a common practice. There are SOPs in place but very difficult to implement.  FaceTagr provides Neural Network  Automated Verification Intelligence of Human Screening that brings compliance for security.

NvisioN

Platform that can plug in from 100+ Computer Vision models and create a custom solution

The platform can provide customized solutions that can combine Face Recognition, People Analytics (Person Detection, Person Location Coordinates, Distinct People Identification, Age, Gender), 100+  object detection models (Automobiles, Animals, Common Objects, Accessories etc.) and also the objects that can be custom trained.

From smart city to warehousing, NvisioN has been deployed for specific needs.

Many of our models are very lightweight and can be deployed to work on the edge on mobile phones or Raspberry Pi.

Most of the modules work with existing CCTV infrastructure, very less capex needs.

A vision for a better world; is very exciting!

There is nothing like a sense of satisfaction!

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5 Companies Pioneering Tech in Developing Countries

FaceTagr
Within the past five years, more than 250,000 children have gone missing in India. Various factors make it difficult for families to find their loved ones. To combat this worrying epidemic, a Chennai IT developer named Vijay Gnanadesikan developed a closed application called FaceTagr. The app uses facial recognition technology to identify missing people. FaceTagr has amassed a photo database of nearly 300,000 missing children and has already identified and returned more than a hundred.

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The future arrives at a Govt. institution

Every day, when the students of the Government Presidency Girls Higher Secondary School in Egmore, set foot in the school building, they realise the power of technology. Their school attendance is marked through face recognition and it provides additional layer of security.

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Indian face recognition - They can claim to be a step ahead of Tokyo.

Chennai’s T. Nagar, arguably India’s biggest shopping district by revenues and crowded on any given day, gets even more packed in festival seasons as thousands throng its saree and jewellery stores. Every year, Deepavali, less than three months away this year, presents the perfect hunting ground for pickpockets and other petty thieves — and a headache for the local police.

This time, however, the city police have reason to believe it has a handle on things. It has a technology that analyses CCTV footage to spot, in real time, people with a criminal history visiting the T. Nagar area. “We are matching real-time CCTV video footage with our criminal database using the FaceTagr system and if any criminals are identified in that area, we get an immediate alert and we can further investigate,” says P Aravindan, deputy commissioner of police. Last year, FaceTagr, a face recognition software developed by an eponymous Chennai company, was used in a few areas with results that convinced the police to spread it to all of the T Nagar area, he adds.

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An app that tracks missing children

Vijay and his team have been surfing various central and state government websites and social networking sites to create a bank of photos of nearly three lakh children, some of them in government or private homes but missing from their families. “If you feed in a photo, our software automatically links it to children who look similar in our database,“ said Vijay , pointing to a photo of a four-year-old child beggar in Allahabad he chanced upon on Facebook. Vijay and his team have been surfing various central and state government websites and social networking sites to create a bank of photos of nearly three lakh children, some of them in government or private homes but missing from their families. “If you feed in a photo, our software automatically links it to children who look similar in our database,“ said Vijay , pointing to a photo of a four-year-old child beggar in Allahabad he chanced upon on Facebook. It matched with the picture of a boy on the Centre's Track Child portal reported missing from Haryana by his parents.

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Armed with anti-crime software, cops nab 16 history sheeters

Tiruvannamalai: Nabbing a criminal in a chock-a-block festival town is like finding a needle in a haystack. But, Triuvannamalai
police said they nabbed 16 history-sheeters during the Karthigai Mahadeepam festival, which saw lakhs of devotees thronging
the temple town.

Police were able to achieve this with meticulous planning and the aid of ‘Face TAGR’, a face detection software.
Police connected the surveillance cameras installed in strategic locations in and around Sri Arunachaleswarar temple with a
server loaded with more than 60,000 active criminals in the state. Police personnel attached to crime wing manned three
control rooms inside the temple, Tiruvannamalai town station and a mobile unit.

By this, they ensured that no devotee fell prey to criminals who indulge in snatching, pickpocket, robbery or theft.
“It was an incident-free festival, except two cases of missing gold chains. No case of robbery, theft or snatching was reported
this year festival. The software helped to prevent crimes and also made many criminals stay away from Tiruvannamalai during
the festival,” Tiruvannamalai superintendent of police R Ponni told TOI.

Last year, around 40 cases of snatching, theft and attention diversion were filed, she added.
Police nabbed four history-sheeters from the Mada Streets during the temple car festival on November 29. Similarly, they held
12 criminals from November 29 and December 3 in and around the temple. They were from Perumbalur, Vellore, Salem,
Dharmapuri, Tanjore, Madurai and Tiruvannamalai districts. Police invoked section 379 (punishment for theft) of IPC and
remanded them.

Recollecting the arrest of a 21-year-old history sheeter, Pathiban of Erode, deputy superintendent of Polur N Kottieswaran said
the control room received an alert after the surveillance camera connected found a match of an accused in the database. “We
received all the details of the person and alerted policemen on patrol near the temple. We had his location and identification
marks such as the dress colour. He was secured within 30 minutes,” he said.

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FaceTagr app: Chennai police’s bright spark helps nab elusive criminals

The case of serial chain-snatching incidents, in which a 55-year-old Srinivasan alias Burma Srinivasan from Korrukupet who had been involved in the crime for over 20 years, was arrested, was solved with the help of the Facetagr application, which was introduced by the State police. The only clue the police had in this case was CCTV footage in which the same person was spotted snatching chains in the incidents reported at Valsaravakkam, KK Nagar and other parts of the T Nagar police district.

“Since he already had cases registered against him, his photo was stored in the database. And the CCTV footage was processed through the ‘Facetagr’ application and the suspect was identified in 150 milliseconds,” said P Aravindan, Deputy Commissioner of Police.

Please email us at contact@facetagr.com , we respond fast or call us @ +91 824 818 7410!