Cache Lab and Blocking: Enhancing Cache Performance
Dive into the world of caches and blocking to optimize performance, reduce cache misses, and align your code efficiently. Explore tips for Cache Lab, parsing input with fscanf, crafting cache simulators, and utilizing LRU replacement policies effectively.
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Presentation Transcript
Project IRAS (Integrated Real-time Assistance Spectacles) Group 4 Group Members Carlos Acosta, PSE, Project Lead Darlandie Moise, PSE Kim Le, CS Brian Umbrecht, CS
The Engineering Specifications Components Parameters Specifications Antenna: Raspberry Pi 5 Transmission Range 50m-100m Camera: OV5640 Capture Quality (Resolution and FOV) Between 2-5 MP. FOV; ~60 - 80 Degrees LCD TFT Display Text and Color Accuracy >80% LCF TFT Display Text and Color Latency <2s Frame of Lens Designs Weight ~500 grams Camera Lens System Widen FOV ~80 Degrees Horizontally LCD Projector Transparency/Visibility 70% Transparent
The Engineering Specifications Components Parameters Specifications Antenna: Raspberry Pi 5 Transmission Range 50m-100m Camera: OV5640 Capture Quality (Resolution and FOV) Between 2-5 MP. FOV; ~60 - 80 Degrees LCD TFT Display Text and Color Accuracy >80% LCF TFT Display Text and Color Latency <2s Frame of Lens Designs Weight ~500 grams Camera Lens System Widen FOV ~80 Degrees Horizontally LCD Projector Transparency/Visibility 70% Transparent
Hardware of Project Overall_f.mp4
The Optics Specifications Overall specifications and parameter for the Optics. Camera Lens System FOV Size LCD Projection Size of Housing Components
LCD Projection Demo LCD Projection - Made with Clipchamp.mp4
Camera Lens System Demo Camera_Lens_f.mp4
The Computer Science Specifications The parameters and partial coding steps required for Text to Speech and Color Detection Algorithms Speech to text Speech to text delay Multiple languages High accuracy Color Detection Latency Color accuracy Multiple colors
Speech to Text Demo Speech_to_Text_f.mp4
Color Detection Demo Color_detection_f.mp4
