Viewpointe ties into Alcon’s Ngenuity visualization system, working to collect stereo images from a microscope used by surgeons during cataract operations. Using an FPGA, the two image inputs will be processed into a display form suitable for a 3D monitor. The user will have the ability to choose between visual formats, including side-by-side, top-bottom, and traditional intersampled mosaic. The input type will also support both HDMI and DisplayPort. All processing will happen on the camera itself, without requiring an external computer.

Current drone sensor arrangements are often varied and complex, with drones requiring many different accelerometers, gyroscopes, and pressure sensors. Our sensor stick aims to consolidate those sensors, along with a microcontroller, into a single, peripheral device which would plug into a drone running Robot Operating System (ROS), and use the data from its sensor array to create an estimation of state.

Defect Detect will perform anomaly detection on a product as it comes down the conveyer belt. We will do this by utilizing images from a camera with an overhead view of the conveyer belt as well as a CNN algorithm which runs on the MAX78000 ultra low power AI microcontroller. The defective items will be removed using a powerful vacuum which will extract then place said items in a separate bin. We will also be using the images from the camera to perform object counting, which will show as a value on our touchscreen display.

Information is invaluable in a combat environment. To address this, our team gives the solution of Overwatch Drones. A drone squad consists of two or more drones to gather information, spot potential risks, and locate users to guard the target’s safety. Our project aims to provide functionalities such as auto following the target, moving to preset locations to check the surroundings, and locate the target and adjust drone’s positions automatically. We also want to provide different ways to control drones. Including auto drive, manual control through android phones, and gesture control.

The UCSB Oakley Evolution Lab seeks to investigate the evolutionary history of ostracods, in particular their bio-luminescence courtship signaling patterns, typically at night and at depths with little external light. We will upgrade the first WALL-E project, which captured and saved stereo vision footage that was used to create 3D reconstructions of the bio-luminescence patterns. Our small·e consists of three detachable subsystems: a camera, light intensity, and DNA collection system. The camera system consists of two low-light sensitive cameras.

Vehicles have penetrated virtually every industry and made themselves essential to many services that are commonplace today. However, most vehicles are expensive investments that also require care and upkeep throughout ownership including routine maintenance and costly sudden repairs. Modern vehicles warn the driver of potential signs of something that needs attention on the dash or through a phone app, but a more scalable solution would be extremely useful for a corporation or business that owns an entire fleet of vehicles.

HandLED is a 3D RGB LED matrix that can be used to visualize and interact with 3D mathematical graphs, 3D models and more. A mobile application will be used to send the function or model to be displayed on the cube via bluetooth. The user's hand movements to interact with the image on the cube will be captured by a bluetooth connected smart glove and/or a radar.

Developing a Transformable, Low-Redundancy, Multi-Modal Vehicle with High Energy Efficiency

In the world of consumer electronic devices, if a circuit board component fails, the entire board is thrown away. Aerospace grade circuit boards are extremely expensive to produce, meaning it is more cost effective to replace individual components on them in a process called rework. Currently all rework at Northrop Grumman is performed by hand by a technician. G.A.R.I is an automated solution that aims to remove the technician from the rework process. The user simply uploads the board layout to the software interface, places the board into the holder, and G.A.R.I. does the rest. G.A.R.I.

The US Navy is researching robotic devices and cooperating with electrical engineer students at the University of California, Santa Barbara in order to lower the costs of annual ship maintenance and increase overall ship safety. Our group is tasked with autonomizing a robot for navigating through the complex interior of a ship and completing a series of tasks, which ranges from pushing buttons to ascending a steep staircase.