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The IBASE AI Education Platform is a comprehensive AI deep learning and edge computing solution for educational providers that collects and analyzes student's behavior and engagement in the classroom using facial recognition. The solution combines the IBASE SI-62S Education system, GEN3G-200 FHD camera and the YUAN SC550N4 SDI capture card with Intel OpenVINO based AI QDEEP SDK development tool for facial recognition. Facial recognition AI can interpret student data using quantitative methods to help educators to provide efficient teaching in educational environments. With the aid of facial recognition, students' behavior and class engagement become quantifiable data that can be used to promote effective teaching in the educational environment.
The platform uses AI image analysis with facial recognition to monitor and analyze students' behavior and performance in classrooms. It aims to provide real-time data to the teachers and supervisors of the students’ emotions exhibited. The technology classifies the students based on the range of emotions displayed – from antipathy to joy and engagement. It is programmed to record various actions and situations such as writing, reading, raising of hands, and even falling asleep. This not only helps the faculty to identify inattentive students, it also signals teachers to alter their teaching style in order to get a more positive result.
The AI QDEEP SDK included in this solution applies the Human Key point Detection approach in computer vision. By quickly locating and returning the 3D coordinates of each human key point, AI QDEEP SDK precisely detects human skeleton, behavioral modes and motions. Furthermore, behavior detection and analysis can be applied to smart classrooms. By reviewing the collected data on student performance, lecturers can make the needed adjustments in instructions and lesson content based on the students' progress.
| System Mainboard | MI998AF |
| Expansion Slots | 1x PCI-E (x16) or 2x PCI-E (x8) based on PCI-E x16 connectors for Matrox / AMD / NVIDIA graphics card 1x M.2 M2280 (NVMe supported) 1x M.2 E2230 |
| SC550N4 SDI Capture card Specifications | Specifications |
| Max. FPS | 1920×1080p @60/50fps in → 1920×1080p @60/50fps out |
| Recording Mode | Software Compression, Real-Time Mode |
| Dimension | 130.49 x 101.02 ( mm ) PCI-E Full Height |
| Interface | PCI-E×4 ( Gen2 ) |
| Video Input | 4x SDI |
| Display Video Format | YV12, NV12, YUY2, RGB24, RGB32 |
| Video RAW Data Resolution | 3G-SDI: 1920 x 1080p @60/50fps HD-SDI: 1920 x 1080p @30/25/24fps 1920 x 1080i @60/50fps 1280 x 720p @60/50fps SD-SDI: 720 x 480i @60fps 720 x 576i @50fps |
| Recording Video Format | H.264 ( Software Compression ) |
| Recording Video Resolution | 3G-SDI: 1920 x 1080p @60/50fps HD-SDI: 1920 x 1080p @30/25/24fps 1920 x 1080i @60/50fps 1280 x 720p @60/50fps SD-SDI: 720 x 480i @60fps 720 x 576i @50fps |
| Audio Input | 4x SDI Embedded Audio PCB Audio Pin Input: 4x Stereo Audio |
| Audio Format | Stereo / 16-bit / 32000 ~ 48000Hz |
| I/O | 16 |
| WatchDog | Yes |
| SDK | Support API : DirectShow, V4L2, FFmpeg, Gstreamer Support Language : C++, C#, .NET, Visual Basic, Qt, Delphi |
| OS Support | Windows 7 / Windows 8 / Windows 8.1/ Windows 10 Linux 2.6.14 or Higher ( 32-bit and 64-bit ) |
| GEN3G-200 Camera Specifications | Specifications |
| Image Sensor | 1/3 inch Progressive CMOS |
| Sensor Size | 5.346 x 3.003mm (16:9) |
| Effective Pixels | Horrizontal: 1920, Vertical: 1080 |
| Pixel Size | 2.75um x 2.75um |
| Resolution | 1080p / 1080i: 1920 x 1080 720p & 720i: 1280 x 720 |
| Output | HD-SDI/ 3G-SDI (1 BNC) HDMI1.3a |
| Color Space | 4:2:2 (YCbCr) 10bit |
| Camera Control | RS-485, OSD Button |
| Dimension | 49mm x 49mm x 71mm 1.92” x 1.92” x 2.79” (With default 3.6mm Lens) |
| Power | 6W at 12 VDC (+9 ~ +15VDC) |
| Frame Rate | 1080 60p/ 59.94p/ 50p/ 30p/ 29.97p/ 25p 1080 60i/ 59.94i/ 50i 720 60p/ 59.94p/ 50p/ 30p/ 25p |
| CPU Type | 9th/8th Generation Intel® desktop processors TDP<=65W |
| CPU Socket | LGA1151 |
| Chipset | Q370 PCH |
| Memory | 2x DDR4 SO-DIMM 2666/2400 MHz , Dual channel, Max. 32GB |
| Graphics | Intel® UHD Graphics P630 |
| LAN | 1x Intel® I219LM 1x Intel® I211AT |
| Auto Control and Monitoring | Watchdog Timer: 256 segments, 0, 1, 2...255 (sec/min) |
| Power Requirement | AC 110V~240V |
| Construction | Aluminum + SGCC |
| Weight | 8kgs (17.64Ibs) |
| Chassis Color | Black & white |
| Storage | 2x 2.5” SATA Devices with RAID 1 support |
| Power Supply | Internal 500W PSU |
| Mounting | Standard system bracket |
| Dimensions | 406mm(W) x 345mm(D) x 93mm(H) 17.16”(W) x 15.9”(D) x 3.66”(H) |
| Operating Temperature | 0°C~ 45°C (32°F~113°F) |
| Storage Temperature | -20°C ~ 80°C (-4°F~176°F) |
| Relative Humidity | 10%~90% (non-condensing) |
| Certification | CE, FCC class A |
| Operating System | Win10 64-bit Enterprise |
| Front Panel External I/O | 2x USB 2.0 1x GPIO port 1x Reset button, 1x DC 12V output |
| Rear Panel External I/O | 1x HDMI, 1x DVI-D and 1x DP 6x USB 3.0 2x RJ45 for Gigabit LAN 2x COM#1/2 port for RS232/422/485 2x COM#3/4 port for RS232 only (Via onboard box-headers) 3x Microjack audio connectors for Mic in, Line-in and Line-out Power / HDD LED, 1x power button 1x Terminal block for external power button |
| SI-62S-E | AI Controller for Edge Side in education solution, w/ Intel Core™ i7-8700 (3.2GHz/4.6GHz) CPU, 2x 8GB DDR4 Memory,1x 2.5" 128GB TLC SSD & 1x 2.5" 500G SATA III HDD, PCI-E Capture Card for SDI interface, 2x FHD Cameras with SDI cable, 500W ATX PSU, Edge side A.I. SDK & WIN10 IoT LTSE 2016 High End OS |
| SI-62S-S | AI Controller for Server Side in education solution, w/ Intel Core™ i7-8700 (3.2GHz/4.6GHz) CPU, 2x 8GB DDR4 Memory, 1x 2.5" 128GB TLC SSD & 1x 2.5" 2TB HDD, PCI-E Capture Card for SDI interface, 500W ATX PSU, Server side A.I. SDK & WIN10 IoT LTSE 2016 High End OS |
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