LEO (Smart Law Enforcement Glasses) is an innovative wearable solution designed to empower police officers with real-time data, improving alertness and decision-making in high-pressure situations.
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TEAM SOSSA
Innovation Fest 2025
About TEAM SOSSA
UN SUSTAINABILITY DEVELOPMENT GOALS
Empowered and Driven:
Delivering Solutions for Global Issues
LEO Smart Law Enforcement Glasses align with UN Sustainable Development Goals 9 and 16 by driving innovation in law enforcement through AI-powered facial and license plate recognition, promoting sustainable, smart solutions in public safety infrastructure (SDG 9), while also strengthening justice systems by equipping officers with real-time data to identify suspects and vehicles, enhancing response times, public safety, and accountability through discreet backup call features (SDG 16).
THE STORY BEGAN
DESIGN STORY
Challenges
Law enforcement officers need instant access to critical information (e.g., suspect identities, vehicle records) during interactions, but traditional methods like radios or handheld devices are slow and compromise situational awareness.
Use Case
During a routine patrol, a police officer notices a vehicle driving erratically and initiates a traffic stop. Wearing LEO Smart Law Enforcement Glasses, the officer approaches the vehicle and says, ``LEO SCAN PLATE.`` The glasses’ Pi Camera captures the vehicle’s license plate, and within seconds, LEO’s license plate recognition system (using OpenCV and Tesseract OCR) identifies the plate number and queries a local SQLite database. The system alerts the officer via the Bluetooth earpiece: ``Plate ABC123, reported stolen, last seen in Manchester.`` Simultaneously, the OLED display shows the vehicle’s details, including the owner’s name and status. Suspecting the driver may be involved, the officer discreetly says, ``LEO ASSIST,`` triggering a silent backup request via MQTT to the command centre without alerting the driver. As backup arrives, the officer uses ``LEO SCAN FACE`` to identify the driver, confirming their identity against a database of known suspects, and ensuring a safe and informed response to the situation.
Solution
LEO integrates facial recognition, license plate recognition, and voice command functionality into smart glasses, providing hands-free access to data while maintaining focus on the environment.
TECHNOLOGIES
List of Essential Tools and Technologies
THE PROCESS
PROTOTYPE DESIGN
The LEO (Smart Law Enforcement Glasses) prototype is a wearable device built on a Raspberry Pi 4, designed to enhance law enforcement efficiency with AI-powered features. The build integrates a Pi Camera mounted on a lightweight glasses frame for image capture, a small OLED display on the frame’s side to show real-time data, and a Bluetooth earpiece for voice commands and audio alerts. The Raspberry Pi 4, housed in a compact enclosure attached to the frame, powers the system. LEO uses `face_recognition` and OpenCV for facial recognition, Tesseract OCR for license plate recognition, and `speech_recognition` for voice activation (e.g., “LEO SCAN FACE”). Data is stored in a local SQLite database, ensuring offline functionality. The system operates in a low-power listening mode, activating the camera and recognition processes only when commanded, conserving battery life. A discreet backup call feature sends silent MQTT messages to a command center. The prototype’s design prioritizes field usability, with all components integrated into a practical, hands-free form factor for law enforcement applications.
Online Marketing
Creative agency
Web development
PLEDGE
Impact on the market
LEO Smart Law Enforcement Glasses impact the wearable technology and law enforcement solutions market by addressing gaps in real-time data access for law enforcement officers. With AI-powered facial recognition, license plate recognition, and hands-free voice commands, LEO enhances operational efficiency and officer safety, outpacing traditional tools like radios. In Europe and North America—where the police modernisation market is projected to grow from USD 723.68 million in 2023 to USD 1,190.62 million by 2032 (CAGR of 6.42%). LEO’s offline functionality and discreet backup call feature could accelerate smart policing adoption, drive innovation among competitors, and transform how officers use technology in the field.
RESULTS
FINAL PRODUCT
LEO Smart Law Enforcement Glasses was developed through a phased process. Firstly, the idea was conceptualised, targeting real-time data access for officers, selecting the Raspberry Pi 4 for its affordability, paired with a Pi Camera, SSD1306 OLED display, and Bluetooth earpiece. From Q3-Q4 2025, we built the software on Raspberry Pi OS using Python, integrating `face_recognition` and OpenCV for facial recognition, Tesseract OCR for license plate recognition, `speech_recognition` for voice commands (e.g., “LEO SCAN FACE”), and `paho-mqtt` for discreet backup calls, all stored in a local SQLite database for offline use. The Bluetooth earpiece enabled hands-free audio input/output, chosen for field usability. Testing with LEO’s first prototype revealed performance issues, addressed by reducing camera resolution and optimising power usage.