Traditional suspect identification relied heavily on eyewitness accounts and manual descriptions, which were often unreliable and subjective. The Punjab Safe Cities Authority (PSCA) has revolutionized this process by introducing Characteristics-Based Object Recognition (CBOR), an AI-powered tool that identifies both individuals and vehicles based on unique physical attributes.

Traditional suspect identification relied heavily on eyewitness accounts and manual descriptions, which were often unreliable and subjective. The Punjab Safe Cities Authority (PSCA) has revolutionized this process by introducing Characteristics-Based Object Recognition (CBOR), an AI-powered tool that identifies both individuals and vehicles based on unique physical attributes. CBOR goes beyond facial recognition by analyzing height, clothing, body posture, gait, and accessories to match individuals with available data. This is particularly useful in cases where facial recognition fails due to masking, low-light conditions, or obstructions in video footage. Similarly, CBOR enhances vehicle identification by recognizing vehicle shape, color, distinctive markings, and movement patterns, even when license plates are altered or missing. Law enforcement can use CBOR to track and identify suspects, missing persons and suspicious vehicles based on their distinct characteristics.