Abstract: Aspects of this disclosure include a system, method and apparatus providing automated audio and vision based pest detection and entry denial for a beehive. The apparatus may include multiple video classification sensors that transmit a signal of the dorsal and lateral aspect of the insects to a computer running a video processing algorithms that classify all insects attempting to enter a beehive. Additionally, the apparatus may include multiple audio classification sensors that transmit audio signals to the computer for audio analysis to assist in classification. Insects classified as pests (not-a-bee) are actively excluded from the beehive.

Abstract: Methods and systems for implementing enhanced autonomous vehicle features. The present invention details an effective and secure methodology to implement the external management and control of autonomous vehicles by authorized personnel specifically allowing the restriction, management, and/or shutdown of an AV or other mechanism that employ non-deterministic artificial intelligence (AI) algorithms.

Abstract: Methods and systems for implementing autonomous vehicle security features. The present invention details an effective and secure methodology to implement the external management and control of autonomous vehicles by authorized personnel, usually law enforcement, through the use of intelligent sensors that can override an autonomous vehicle controller's functionality as necessary.

Abstract: Methods and systems for preventing code injection attacks are disclosed. Embodiments include generating a random security tag and obtaining an instruction block comprising an instruction to be executed by a processor. The instruction block includes at least one no-operation (NOP) instruction at a specified location within the instruction block. A first exclusive OR with the random security tag is applied to at least one instruction at the specified location, the instruction block is stored, and fetched for passing to the processor. Prior to passing the instruction block to the processor, the instruction at the specified location is verified by applying a second exclusive OR to determine whether the instruction at the specified location is the NOP instruction. When a NOP instruction, the instruction block is passed to the processor. When not an NOP instruction, the passing the instruction block to the processor is omitted.

Abstract: Methods and systems for preventing code injection attacks are disclosed. Embodiments include generating a random security tag and obtaining an instruction block comprising an instruction to be executed by a processor. The instruction block includes at least one no-operation (NOP) instruction at a specified location within the instruction block. A first exclusive OR with the random security tag is applied to at least one instruction at the specified location, the instruction block is stored, and fetched for passing to the processor. Prior to passing the instruction block to the processor, the instruction at the specified location is verified by applying a second exclusive OR to determine whether the instruction at the specified location is the NOP instruction. When a NOP instruction, the instruction block is passed to the processor. When not an NOP instruction, the passing the instruction block to the processor is omitted.

Abstract: Methods and systems to prevent autonomous vehicle misuse using integrated route management are disclosed. Embodiments include a server architecture that implements route management of autonomous vehicles within Federal, State, and Local Jurisdictions as well as implement intelligent tracking to eliminate fraud and illegal shipments. An AV in the context of his patent is a vehicle meeting the definition of Society of Automotive Engineers (SAE) Level 2 to 5 as defined in SAE specification J3016, or an autonomous aerial vehicle.

Abstract: Methods and systems for implementing autonomous vehicle security features. The present invention details an effective and secure methodology to implement the external management and control of autonomous vehicles by authorized personnel, usually law enforcement, through the use of intelligent sensors that can override an autonomous vehicle controller's functionality as necessary.