habot Goto Github PK
Name: HABOT
Type: User
Company: HABOT-SSAR
Bio: In search of what I'm made of!
Name: HABOT
Type: User
Company: HABOT-SSAR
Bio: In search of what I'm made of!
IFRAME based AJAX library (AJAXI)
Training session in agile development
QUASSAR (codename QSR-101) is an advanced quadruped robot aimed to provide functions in support, surveillance and education in multiple environments, industrial, corporate, home and lot more. It features advanced sensory systems and computational power for all of its functions. It implements a computational grid distributed in 3 nodes / boards with the following characteristics: Cortex Node Samsung Exynos5422 Cortex™-A15 1.8Ghz Quad-Core and Cortex™-A7 Quad-Core CPUs (Octo-Core) * Mali-T628 MP6(OpenGL ES 3.0/2.0/1.1 and OpenCL 1.1 Full profile) * 2Gbyte LPDDR3 RAM at 933MHz (14.9GB/s memory bandwidth) PoP stacked * eMMC5.0 HS400 Flash Storage Motion Node SoC Broadcom ARM® Cortex®-A7(ARMv7) 0.9Ghz Quad-Core CPU * Mali™-450 MP2 GPU (OpenGL ES 2.0/1.1 enabled for Raspbian) * 1Gbyte DDR3 SDRAM Support Node 8-bit Microcontroller Board (designed and built by me) running at 40 MHz. 4KB of internal RAM. ADC S/H for the Front & Read proximity sensors (pseudo-Lidars) PWM & Control for the front Ilumination Unit The system configures a "Grid" architecture on which, the core nodes are connected through Ehternet LAN at 100Mbps, and the Support node is accessed over I2C. The main nodes are remotely accessed over WiFi independently, but both are continuously interchanging information through the LAN network. It features two "pseudo-lidars" front and rear to perform near object detection. These sensors continuosly scan the front and rear perimeter to provide accurate information about surrounding objects. Special software patterns and styles based on RTOS architecture have been implemented. A complete and proprietary mathematical model has also been designed to provide all of the IK functions. It features advanced object and face recognition functions based on OpenCV, by using classifiers (Haar Cascade Classifier). It also will implement advanced AI and voice processing features based on well-known libraries like Google's TensorFlow, BlueMix, Fann etc.
This repo is aimed to share my progress on the .NETMF SPI driver for the Adafruit CC3000 WiFi Breakout. I couldn't finish my work since the device seem to be damaged and required a new one. After almost 2 months of work I decided to stop and publish to get some help.
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