5 Companies Pioneering Tech in Developing Countries
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.
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.
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.
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.
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.
Helping lost children to return home
Vijay Gnanadesikan and M Elango hope their app will reunite missing children with their families.
Read at Rediff
Fast and Accurate Face Recognition. Advanced Video Analytics. Dashboards and Mobile App.
LFW Accuracy Score: 99.4.
Works on Photos & Videos.
Detects faces in spite of disguise – hair, beard, spectacle etc.
EDGE – Part of process happens locally and rest in the cloud.
ON-PREMISE – Completely deployed locally.
CLOUD – Server Based.
Works with Webcams, CCTV, P2P, Mounted & Mobile cameras. Works with just one reference photo. Easy to deploy and scale.
FaceTagr uses its proprietary face recognition technology to compare a photograph or video to a database of reference images and provides results instantly. Provides 1:1, 1:N recognition on images, videos through web portal, mobile apps and API.
FaceTagr’s CV platform provides insights and analytics from existing CCTV video feeds. Heat-maps, object detection, counters, zone watching are some of the most popular use cases from our customers.
Automatically analyze video feeds for identifying people of interest to get insights to plan your operations better or improve sales. Our proprietary processes of deployment makes it easier to deploy, making use of existing infrastructure and our dashboard and AI analytics provide what you need to improve your organization.
Take a photo or upload from phone. Works on 18,000 mobile models. Checks within seconds and provides results. Easy to deploy and use. Highly scalable. KPI dashboard, alerts and mobile app notifications.
SkoolTag- Safer Schools, automated attendance, better communication
FaceTagr brings enhanced security & efficiency for schools using its cutting edge face recognition tech.
RetailTag- E-Commerce like advanced insights for Brick & Mortar Retail
FaceTagr's Computer Vision bring great insights to brick & mortar retail to improve sales, marketing and operations.
FaceTckt- Face Recognition based attendance
Say no to queues and have secure, seamless & fast attendance with Facial Recognition. Centralized dashboard and reports.