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Artificial Intelligence (AI) developments in recent years have allowed several new types of applications to emerge. In particular, detecting people and objects from sequences of pictures or videos has been an exciting field of research. Even though there have been notable achievements with the emergence of sophisticated AI models, there needs to be a specialized research effort that helps people finding misplaced items from a set of video sequences. In this paper, we leverage voice recognition and Yolo (You Only Look Once) real-time object detection system to develop an AI-based solution that addresses this challenge. This solution assumes that previous recordings of the objects of interest and storing them in the dataset have already occurred. To find a misplaced object, the user delivers a voice command that is in turn fed into the Yolo model to detect where and when the searched object was seen last. The outcome of this process is a picture that is provided as evidence. We used Yolov7 for object detection thanks to its better accuracy and wider database while leveraging Google voice recognizer to translate the voice command into text. The initial results we obtained show a promising potential for the success of our approach. Our findings can be extended to be applied to various other scenarios ranging from detecting health risks for elderly people to assisting authorities in locating potential persons of interest. 

Remote Keyless Entry (RKE) is a revolutionary technology that allows drivers to gain access to their vehicles using a wireless key fob operating on short-range radio waves. This technology offers numerous advantages for drivers, but it is still vulnerable to serious security threats which target the interactions between the fob and car, which may eventually result in car theft. In this paper, we propose a blockchain-based approach to thwart replay attacks targeting cars equipped with RKE systems. We consider the key fob and the car as two separate users of a private blockchain in which a miner authenticates the key fob with the corresponding car to grant or deny access using a smart contract. We validate our findings by a performance evaluation of the time taken by the miner to validate the access to the vehicle.