Abstract: A system and method for acquiring an image. The method includes dropping an object into free fall, detecting the dropping of the object, triggering a plurality cameras to simultaneously image the object in parallel, while the object drops into a bottom half of an imaging sphere at a center of a field of view of each of the plurality of cameras, upon detecting the dropping of the object, analyzing images of the imaged object in parallel, based on a trained machine learning model, and displaying a three dimensional image of a surface of the object based on the analysis of the images of the imaged object.

Abstract: The technology disclosed is directed to hyper-local provisioning and delivery of goods including a depot and a transporter. Hyper-local depots are mounted above transit paths (e.g., sidewalk, parking lot, road) or on the side of or inside a building. The depots store and charge transporters, which provide robotic delivery. The depots can load transporters with goods, deploy them out of the depot for delivery and retract them upon completion of the delivery task. Modules within the depot can store inventories for delivery and beverage/food preparation devices. An example transporter includes a collapsible column and a collapsible neck attached thereto. The neck supports a handle for carrying a package and a head with a radar and a camera positioned thereon. The transporter is transformable among a compact mode, a first extended position and a cruise mode.

Abstract: A system, method and apparatus to automatically perform endotracheal intubation in a patient comprising, inserting a blade inside the upper airway of the patient to retract an anatomical structure; inserting a bending portion and a tube arranged on the bending portion inside the airway of the patient; collecting airway data using at least one imaging sensor arranged on the bending portion; communicating collected airway data to a processing circuitry; predicting an intended path for insertion of the tube and generating control signals using the processing circuitry, wherein the intended path is predicted based on at least one anatomical structure recognized by the processing circuitry using the collected airway data; displaying an intended path via a user interface to display at least one intended path to an operator and also allow the operator to select an intended path; and communicating the control signals generated by the processing circuitry to at least one actuation unit to actuate the three-dimensional

Abstract: A system and method for acquiring an image. The method includes dropping an object into free fall, detecting the dropping of the object, triggering a plurality cameras to simultaneously image the object in parallel, while the object drops into a bottom half of an imaging sphere at a center of a field of view of each of the plurality of cameras, upon detecting the dropping of the object, analyzing images of the imaged object in parallel, based on a trained machine learning model, and displaying a three dimensional image of a surface of the object based on the analysis of the images of the imaged object.

Abstract: A method and a system for allocating a vehicle to a user are provided. An availability of a vehicle is detected in a geographical location for an allocation. Based on the historical travel data or a real-time travel-related intention of a set of users in the geographical area, a user is identified from the set of users. A notification message is transmitted to a user device of the identified user based on the detected availability of the vehicle in the geographical area. A user response message is received from the user device in response to the transmitted notification message. Based on the received user response message associated with the selected user, the vehicle is allocated to the selected user for a ride.