AI Detection & Intelligence System for Commercial Operations​

PureCipher has conducted a comprehensive study and engaged in a series of in-depth conversations with experts to address a critical issue: the rapid detection and effective identification of potential threats and irregularities in various commercial settings. The current methods, which rely heavily on manual inspections, are time-consuming, demand specialized expertise, and are often imperfect. This inefficiency puts businesses at risk and slows down operations.

PureCipher’s AI Detection and Intelligence System (AI-DIS) aims to address this problem. AI-DIS leverages Natural Language Processing (NLP) and Vision Transformer/Convolutional Neural Network (CNN) technologies, pre-trained to handle a wide range of queries with high universality and generality. Using advanced proprietary techniques and AI models, AI-DIS tracks known entities, associations, and similarities through re-identification. Essentially, AI-DIS functions as a sophisticated multimodal AI system, enabling identification, re-identification, knowledge graph creation, tracking, and visualization.

The system enables operators to automatically scan and detect potential risks, significantly enhancing both the speed and accuracy of threat detection and providing actionable guidance to staff. Re-identification capabilities ensure that once an irregularity is detected and cataloged, it can be tracked continuously, even if it appears in different forms or contexts.

Finally, all transmission is conducted using PureCipher’s Noise Based Communications (NBC) technology. This technology maps data to randomly generated noise vectors, which are then transmitted. The core innovation is that the randomly generated noise itself has absolutely nothing to do with the actual data; it is entirely unrelated. NBC does not resemble conventional encryption/decryption methods but is backward compatible, allowing messages to be encrypted before the mapping process if needed.

PureCipher's AI-DIS system simplifies the risk detection process as follows:

Field Operators: Operators, often overwhelmed with sensory inputs, are equipped with a camera, drone, or surveillance equipment capable of capturing the environment.

Real-time Analysis: The camera feed is streamed to our pre-trained AI-DIS model, which can be configured on-the-fly based on user-defined queries.

Dynamic Detection: The operator inputs specific risks or irregularities they need to detect (e.g., theft, unauthorized access, abnormal behavior). The AI-DIS system analyzes the camera feed in real-time, identifying and flagging the specified objects.

Reidentification: Once an irregularity is detected and cataloged, the re-identification capability ensures that it can be tracked continuously, even if it reappears in different forms or contexts.

Secure Transmission: All data transmission is conducted using PureCipher’s Noise Based Communications (NBC) technology, which maps data to randomly generated noise vectors for highly secure and virtually unhackable communication.

Actionable Guidance: The system can provide immediate notifications to the operator, highlighting the detected irregularities. Additionally, PureCipher can collaborate with clients to integrate detailed instructions on handling detected objects, further enhancing the system’s utility.

Commercial Applications:

Theft Detection: AI-DIS can identify and flag suspicious activities indicative of theft, such as unusual movements or behaviors in retail environments. This enables real-time alerts to security personnel for immediate action.

Unauthorized Access: The system can monitor access points and detect unauthorized entries, ensuring that only authorized personnel are within restricted areas.

Abnormal Behavior: AI-DIS can analyze behaviors in real-time to detect abnormalities, such as loitering, sudden rushes, or other unusual patterns that may indicate a security concern or emergency.

Operational Disruptions: By continuously monitoring equipment and operational processes, AI-DIS can detect early signs of malfunctions or disruptions, allowing for timely maintenance and minimizing downtime.

Environmental Changes: The system can track changes in the environment, such as new constructions, obstacles, or modifications in layout, to ensure safety and compliance with regulations.

While we currently focus on detecting anomalies indicative of security breaches and operational risks, ensuring early detection and prevention, we plan to extend AI-DIS in the future to utilize images and video feeds to detect and analyze a wide range of activities. This includes monitoring customer behavior for business intelligence, tracking asset movements, and analyzing workspace utilization. With a view to the future, this system will significantly enhance situational awareness and decision-making capabilities for businesses across various sectors.