Smart Home Automation Training Equipment

Model: FT – SHA121

  • AI convergence training equipment built a smart home, which has
    structure for application implementation and provides connectivity.
  • Simulation environment a scaled-down two-story house to be placed on a table
  • HMI with built-in touchscreen to enable sensor and actuator control in GUI environment
  • Automatic controller that controls light, ventilation fan, door, curtain motor and monitors humidity, harmful gas
  • Feedback circuit configured for all actuators enabling feedforward and feedback control
  • Resilistic Simulation
  • Various Sensors and Actuators
  • Learning Control through
  • Practice Based on Real Environment
  • Supports cloud and smartphone/tabled connectivity via Wi-Fi and Bluetooth
  • Supports AI accelerator to scale up machine learning-based smart home automation
  • Implementation of AI-Based Smart Function
  • Accelerated and high-level control possible through Micro Python, Python, Pop plus library
  • A user-friendly interface with GUI designed on PyStide
  • Supports to implement image processing and classification logic
  • Long Open CV and Media Pipe
  • Controlling the device remotely via mobile apps such as Blynk possible
  • Conditional operation automatically sets the device to run based onSpecific condition
  • Supports for data communication encryption using SSL/TLS and
  • Support: 2TA user authentication and authorization management
  • Protects sensitive data by encrypting data with ALS/KDF
  • Supports dashboard and remote monitoring through open source IoT platform, analytics and interactive visualization tool
  • Monitors sensor data remotely and supported interworking with cloud
  • Collaboration system and Internet messenger in case of error

Description

Smart Home Automation Training Equipment

Technical Specification :

  • HMI (Human Machine Interface) Part
  • Edge Processor
  • 3.4GHz Dual-core 64-bit Arm Cortex-A76 CPU
  • 512KB per-core L2 caches, 2MB shared L3 cache
  • LPDDMA-4267 SDKAM
  • Dual-hand Card Line Wi-Fi8B Bluetooth 5.0 / Bluetooth Low
  • Energy (BLE)
  • F-inch TFT LCD
  • IPS, Resolution 1024 x 600
  • Capacitance Touch Screen
  • 2MP Camera
  • Resolution:100bp @30 fps Field of View120 degrees diagonal
  • Home Block Part
  • Auto Controller.
  • Equipped with Dual Cortex-M33 or RISC-V Hazard 3 cores
  • operating at speeds of up to 150MHz or more
  • Features 520 kB of high-performance multi-bank SRAM
  • Include external Quad-SPI flash with execute in place capability and 16kB of on-chip cache
  • Decor
  • Automatic Door Opening/Cusing
  • Utilities door models to illustrate the opening and closing mechanism.
  • Comprises 1x 5V Step Motor and 2x Feedback Switches
  • Light -2x S4mm LED with feedback
  • PIR Sensor-Direction range 10 to 80 cm or more
  • Living Room:
  • Curtian Copernted by a 12V Step Motor with 2 Feedback Switches
  • FAN:5V 40mm FAN featuring RGB LED with feedback
  • Light:2x S4mm LED with feedback
  • Dust Sensor: Detects particle sizes from 0.3μ μm to 10μμm or more
  • Measurement range for PMI 0/PM2.5/PM10:0 to 1.000μ μ/m or more
  • TPHG Sensor – AI Environmental Sensor measuring VOC
  • Temperature, Humidity, and Pressure
    Kitchen:
  • GAS Director – Servo Motor with feedback Switch
  • FAN:5V 40mm FAN with RGB LED with feedback
  • Light -2x S4mm LED with feedback
  • GAS Sensor – LPG and Methane Gas Detector
  • Room – Windows / Security Read Switch
  • FAN – 5V 40mm FAN with RGB LED with feedback
  • Light-2x54mm LED with feedback
    Bathroom:
  • FAN – 5V 40mm FAN with RGB LED with feedback
  • Light – 2x54mm LED with feedback
    Others:
  • Indicator: 12V RGB LED Strip for Indicate status
  • Illuminance Sensor – Ambient Light detection sensor
    Shock Detection Sensor – 3-Axis Digital Accelerometer with +2 g/ +4 g/±8 g/±16 g sensitivity
    Software Specification
    IBM:
  • Linux Kernel: aarch64 6.x
  • Cloud & Edge: SSII Server, Blocz, Mosquito, S2M Bridge Server,
  • AWS IoT
  • GUI & Vision: PySlide, OpenCV
  • Data Science & AI: Numpy, Marplotlib, Pandas, Scipy, Seaborn, Scikit-learn,
    Modipity:
  • Security: SSI/TLS, MQTT, JFA, AES/KDF
  • Pro plus Library (MB): Actuator & Feedback Lamp, Fan, Door
    Lock, Gas Breaker,
  • Mood Lamp
  • Sensor Object: Plc, Illuminance, TPHG, Dust, LPG Gas, 3-Axis
  • Accelerometer, Open
  • Detection
    Auto Controller:
  • Embedded Runtime: REPL, Garbage Collection, PIO, LittleFS, CDC, MQTT
  • Ali-Linear Regression, Logistic Regression, Perceptron, ANN
  • Pro plus Library (Auto Controller)
  • Actuator & Feedback Lamp, Fan, Door Lock, Gas Breaker, Mood Lamp
  • Sensor Object: Plc, Illuminance, TPHG, Dust, LPG Gas, 3-Axis
  • Accelerometer, Open Detection
  • Machine Holder
  • Quantity: 2
  • MATERIAL: Compressed Wood punch with laminated melamine surface
  • Dimension(warmon): 2440 X 270 X 750 mm
  • Top surface around: 16 mm Laminated board 16 mm top visual with 1mm edging
  • Color: Black, White, Wooden and etc
  • Surface shall be serrated proof
  • Base: Cold rolled Mill Steel tubular frame or Made with heavy-duty mild steel
  • PVC leg stopper for floor protection
  • Paint: Mid steel part protected with powder coating heat paint
  • PVC coil handed with hot met glue to protect moisture gaining
  • Phosphatized and Oven baked powder paint finish for anti-rest and longevity
  • Anti-linesis chemicals added to make the board termite-proof Assembly

Accessories:

Single-phase power cord
4mm Banana Socket-1Set
User Manual

Others:

Brand: FaboTronix
Country of Origin: China, taiwan, japan.
Manufacturing: Assemble in Bangladesh
Training

Reviews

There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.

Related Products