Logo
SUPERINTELLIGENCE

Platforms

Kepler Turing

Digital Lifeforms

Synapse AI Box Sentinel AI Camera Scout AI Tower Tracer AI Vehicle

Business Divisions

Defense & Border Public Safety Transportation Campus Security Intelligence Non Profits

RESOURCES

About Us News Use Cases Press

Non Profits

AI for Social Impact: Rescuing Trafficked Children from Brothels in India

The Growing Crisis of Child Trafficking in India

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.

Introducing CENSER A Revolutionary Rescue System

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.

How CENSER Works

The CENSER system combines human intelligence and artificial intelligence through a structured, discreet workflow:

  • Volunteers enter high-risk zones while posing as customers and use hidden cameras to discreetly record video footage
  • CENSER analyzes the video using AI-powered facial recognition and age estimation algorithms
  • The system cross-references detected faces with national databases of missing children—even accounting for age progression
  • Upon identifying a minor or matched face, evidence is generated to support law enforcement-led rescue missions

Making Impact Through Technology

CENSER has already contributed to real-world rescues and offers scalable technical advantages:

  • Successfully aided in the rescue of trafficked children from brothels
  • Capable of processing hundreds of video analysis requests per minute using distributed AI architecture
  • Functions reliably even in low-light, poor-image quality, or compromised video conditions
  • Ensures data privacy by storing only encrypted feature vectors, not raw images

Looking Ahead: The Future of Child Protection

While CENSER is already making a difference, it represents just the beginning of a larger vision. Future iterations of the system will include:

Frequently Asked Questions

Through programs like CENSER, non-profits deploy AI Box and Sentinel Cameras to automate threat detection, child-safety monitoring, and facility access control—freeing staff to focus on mission-critical outreach (Skylark Labs).

Skylark’s plug-and-play Synapse AI Box and software-only Turing platform minimize hardware investment; adaptive licensing lets non-profits scale analytics affordably as needs grow (Skylark Labs).

Yes. AI-driven analytics track engagement metrics (e.g., rescue mission counts, facility footfall) to generate real-time reports, helping organizations measure impact and optimize resource allocation (Skylark Labs).

By synthesizing field data, social media trends, and stakeholder feedback, AI models surface insights on emerging risks and outreach effectiveness, guiding strategic planning and donor engagement (Skylark Labs).

Maintaining data privacy, ensuring unbiased model training, and securing community consent are paramount; Skylark offers encrypted, on-edge processing and transparent model auditing to uphold ethical standards (Skylark Labs).