Child trafficking remains one of India’s most urgent humanitarian crises. According to national crime statistics, over 20,000 women and children were reported as trafficking victims in 2016 alone. Reported abductions surged from 15,284 in 2011 to 41,893 in 2015—a disturbing trend that reflects the scale of the problem.
Behind these numbers are real lives—children exploited, displaced, and robbed of safety. Tackling this issue requires bold innovation and technology-driven solutions.
Developed by Skylark Labs in partnership with the Guria nonprofit organization, the ChildrEN SafEty and Rescue (CENSER) system is an AI-powered platform designed to identify and help rescue trafficked children.
Using cutting-edge facial recognition and AI-based age detection, CENSER identifies underage individuals—even when years have passed or physical appearances have drastically changed.
This proprietary age-invariant recognition technology is especially effective in environments like brothels and high-risk areas where victims are hidden in plain sight.
The CENSER system combines human intelligence and artificial intelligence through a structured, discreet workflow:
CENSER has already contributed to real-world rescues and offers scalable technical advantages:
While CENSER is already making a difference, it represents just the beginning of a larger vision. Future iterations of the system will include: