Embedded Computing

AIER1000 Series

8th Gen Intel® Core™ i7-8700 Processor AI Education Solution

A comprehensive AI deep learning and edge computing solution designed for educational providersDesigned for collecting and analyzing student's behavior and engagement in the classroom through facial recognitionOptimize teaching quality through classroom interaction analysisFacial Recognition - 98% face verification accuracy for 1:1Biometric identification - 6 kinds of student face emotion identificationBehavior identification - 9 kinds of student behavior identification

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 AIER1000 Series AI 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-AI
CPU Type 8th Gen Intel® Core™ i7-8700 Processor 3.20GHz, TDP<=65W
CPU Socket LGA1151
Chipset Q370 PCH
Memory 2x DDR4 SO-DIMM 2666/2400 MHz , Dual channel, up to 32GB, default 2x 8GB
Graphics Intel® UHD Graphics 630
LAN 1x Intel® I219LM
1x Intel® I211AT
Expansion Slots N/A
I/O Interface Front Side External I/O:
2x USB 2.0
1xReset button
1x Power/HDD LED
Rear Side External I/O:
4x USB 3.0
2x RJ45 Gigabit LAN
1x COM RS232
1x AC-in
Capture Card Video Input: 4× SDI
Max. FPS: 1920×1080p@60/50fps in → 1920×1080p@60/50fps out
Recording Video Resolution:
1920 x 1080p @60/50fps
1920 x 1080p @30/25/24fps
1920 x 1080i @60/50fps
1280 x 720p @60/50fps
720 x 480i @60fps
720 x 576i @50fps
Auto Control and Monitoring Watchdog Timer: 256 segments, 0, 1, 2...255 (sec/min)
Power Requirement AC 100~240V
Construction Aluminum + SGCC
Weight 8kgs (17.64Ibs)
Chassis Color AIER102E: Gary & white
AIER100C: Blue & white
Storage AIER102E: 2x 2.5” SATA Devices, default 1x 128G SSD and 1x 500G HDD
AIER100C: 2x 2.5” SATA Devices, default 1x 128G SSD and 1x 2TB HDD
Mounting Standard system bracket
Dimensions 406mm(W) x 345mm(D) x 93mm(H)
462.8mm(W) x 345mm(D) x 98mm(H) with desktop mounting kit
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
Dimensions (WxDxH ) *The camera specifications below are for AIER102E only.
Image Sensor: 1/3 inch Progressive CMOS
Senor Size: 5.346 x 3.003mm (16:9)
Effective Pixels: Horizontal: 1920, Vertical: 1080
Pixel Size: 2.75um x 2.75um
Resolution: 1080p & 1080i: 1920 x 1080; 720p & 720i: 1280 x 720
Resolution/Rate: 1080 60p/59.94p/50p/30p/29.97p/25p; 1080 60i/59.94i/50i; 720 60p/59.94p/50p/30p/25p
Output: HD-SDI / 3G-SDI (1 BNC); HDMI 1.3a
Color Space: 4:2:2 (YCbCr) 10 bit
Camera Control: RS-485, OSD Button
Operation Temp: 32°F~104°F
Dimension: 49mm x 49mm x 71mm (With default 3.6mm lens)
Weight: 180g/0.39Lbs (With default 3.6mm Lens)
Power: 6W at 12VDC (+9 ~ 15VDC)
Packing List AIER102E:
Mounting Kit: Wall mount kit and screws
Power: Power cord for system
Camera Kit: 2x AIDA SDI interface, Full HD cameras, 12V power adapter, Power cable
Mounting Kit: Wall mount kit and screws
Power: Power cord for system
AIER102E Artificial Intelligence System for education edge side solution, w/ Intel® Core™ i7-8700(3.2GHz/4.6GHz) CPU, 2x 8GB DDR4 Memory,1x 2.5" 128GB SSD & 1x 2.5" 500G SATA III HDD, PCI-E SDI Capture Card, 2x FHD Cameras Kits, Edge side A.I. SDK & WIN10 IoT LTSE 2016 High End OS, 100V~240V AC
AIER100C Artificial Intelligence System for education Central Management Server, w/ Intel® Core™ i7-8700 (3.2GHz/4.6GHz) CPU, 2x 8GB DDR4 Memory, 1x 2.5" 128GB SSD & 1x 2.5" 2TB HDD, Central Management Server A.I. SDK & WIN10 IoT LTSE 2016 High End OS, 100V~240VAC
AIER1000 Series
Product Brief
AIER1000 Series
AIER1000 Series