Abstract: A system and method for utilizing a multi-sensor video surveillance system for traffic and compliance reporting. Utilizing closed caption televisions (CCTVs), cameras and other sensors, the system can generate heat maps and monitor activity in the scene. Based on the heat maps and object detection, the system can monitor traffic pattern for vehicles and monitor people for personal protective equipment (PPE) compliance.

Abstract: A system and method for a smart stand-alone multi-sensor gateway for detection of person-borne threats. The multi-sensor gateway system consists of two pillars comprising a plurality of sensors that build a gateway for patrons to pass through that detects concealed threats carried on-body. The threat detection relies on artificial intelligence (Al) to analyze the sensors’ data and assess the presence of a threat. The Al is performed on an edge device contained within the gateway. The gateway can consist of a plurality of peripherals that enhance the sensing capability of the gateway, such as a camera or an accelerometer, and provide the security guard with information around alerts and threat locations such as with displays or audible alerts and manage the operations such as displays to control throughput.

Abstract: A system and method of automated logistical vehicle registration and validation for remote monitoring. Cameras are deployed at the gate to a trucking logistics facility to record detailed information (e.g., license plate, identification info) on vehicles. Alternatively, vehicle and drive identification credentials can be provided by a mobile application from the driver. The cameras are connected to a data center hosting the automated logistical vehicle registration and validation system. Cameras are placed around the entry gate of a facility that takes snapshots of vehicles “checking in”. The system takes this info with assistance from artificial algorithms to read data and images (e.g., photos) to compare and verify the info. Recommendations are then sent to a guard to approve entry of the vehicle.

Abstract: A system and method of a threat detection system to automatically disseminate information being communicated over a communications channel during an event to help coordinate resources from the command center. By using speech processing algorithms along with artificial intelligence and natural language processing (NLP), a threat detection system can pull out key insights from the radio communication between the security personnel. Text in the radio frequencies can be recorded and transcribed and actionable alerts can be created.

Abstract: A system and method for utilizing a multi-sensor video surveillance system for traffic and compliance reporting. Utilizing closed caption televisions (CCTVs), cameras and other sensors, the system can generate heat maps and monitor activity in the scene. Based on the heat maps and object detection, the system can monitor traffic pattern for vehicles and monitor people for personal protective equipment (PPE) compliance.

Abstract: Embodiments described herein relate to a threat detection system that shows a user an incident as it develops in real time by leveraging artificial intelligence (AI) to more accurately focus cameras and highlight the areas of concern within those feeds, providing a much more efficient user interface to the operator. These annotated feeds and feed focused triggering events can also be connected to third party systems. This timeline of events and evidence (small annotated clip of detection when available) is archived and can be reviewed at a later date, containing an accurate timeline of the incident as it progressed.