Brand: CL
Model: AT-2D
Pictures are for reference only.
Intelligent Internet is a network that deeply integrates artificial intelligence technology with the Internet, Internet of Things, computing power network, etc., with data, algorithms and computing power software and hardware matching, widely connects people, machines and objects, transmits and exchanges intelligent resources (including models, parameters, etc.), can autonomously explore and recognize the physical world, and provide intelligent decision-making services.
Features of Intelligent Internet
Intelligent Internet is a new form of Internet after PC Internet and mobile Internet, and is in the same vein as PC Internet and mobile Internet. The intelligent Internet generated by the combination of new generation artificial intelligence technology and more diverse and advanced networks has three basic characteristics
1. “Strong Integration” of Artificial Intelligence
Intelligent Internet is the product of the deep integration and reconstruction of the new generation of artificial intelligence and the network. At present, artificial intelligence is developing from dedicated to general artificial intelligence, enabling the network to be highly intelligent. The birth and widespread application of generative artificial intelligence platforms mark a major breakthrough in artificial intelligence technologies such as natural language processing, and artificial intelligence is moving from dedicated intelligence to a new stage of development of general intelligence. The new generation of artificial intelligence is deeply integrated and reconstructed with the network, and has strong natural language understanding and learning capabilities. Artificial intelligence will greatly improve the perception, recognition, computing, transmission and storage performance of the Internet, and Internet content and data will also be generated by artificial intelligence. In addition, artificial intelligence will give birth to new Internet applications, new formats, and new industries, and open up a new world of virtual-real integration, industrial interconnection, and value interconnection.
2. Intelligent interconnection “pan-terminal”
The intelligent Internet is based on intelligent interconnection as its basic capability and key feature. The intelligent interconnection that widely connects “human-machine-object” not only includes the interconnection of different computing and sensing devices such as servers, PCs, mobile terminals, IoT terminals, and artificial satellites, but also includes various computing environments for new human-machine-object fusion application scenarios, such as social, travel, office, entertainment, life services, and other scenarios. The virtual world and the physical world are interconnected. Users can interact directly with the “pan-terminal” under intelligent interconnection through language dialogue, and the terminal can also understand the user’s intentions and needs and provide more intelligent services.
3. “Intelligent” transmission service
The intelligent Internet can simulate human thinking patterns and automatic learning, autonomously explore and recognize the physical world, and at the same time connect and transmit intelligent resources through “pan-terminals” to provide intelligent decision-making services and generate intelligent results. PC Internet and mobile Internet mainly transmit “information”, while intelligent Internet can connect and transmit intelligent resources such as knowledge, large models and their parameters between people, objects and people, and continuously unlock new capabilities of intelligent resources through reinforcement learning and human feedback, bringing unlimited imagination space to intelligent network services.
§ Main module supporting AI acceleration calculation, multimedia and various IoT sensors should be integrated into the base board. § Minimum 5-inch TFT LCD with 800×480 or higher resolution and Minimum 8M pixel high resolution camera § Digital microphones and speakers should support cloud-based speech recognition and audio playback § Minimum 4 dedicated expansion interfaces support various IoT sensor modules § Soda OS, the exclusive AIoT operating system, and Pop library • A dedicated web browser-based learning environment for training Python 3 and C/C++ § Educational contents for IoT sensor control, multimedia and AI• Training Contents:• Introduction to AIoT Home: § Configuration and Practice Environment of AIoT Home § Python and Linux 101 • IoT Application Technology § Sensor Control:• File and DB-Based Data Persistence § Audio Recording and Playback § Google Text-to-Speech Converter, Google Assistant and User Device Actions • Camera and Sensor Applications § AI Technology:• Numpy for Fast Multidimensional Matrix Operations § Pandas for Time Series and Tabular Data Analysis § Matplotlib for Data Visualization § Supervised and Unsupervised Learning § Theory & Practice for Pop.AI-based Linear and Logistic Regression Algorithm, Perceptron, ANN, DNN, and CNN & OpenAI DQN-based Reinforcement Learning § Understanding Tensorflow. § Software Specifications: § Soda OS: § Linux Kernel: 4.19 § Desktop: X-Server, Openbox, LightDM, Tint2, blueman, network-manager, conk § CLI: Zsh, Tmux, Peco, powerlevel9k thema, Powerline fonts § IDE: Visual Studio Code, NeoVim, Geany § Data Science & AI: Python3, Numpy, Matplotlib, sympy, Pandas, Seaborn, Scipy, Gym Scikit-learn, Tensorflow, Kerast § Pop Library: § Output Object (C/C++, Python3): Led, Laser, Buzzer, Relay, RGBLed, DCMotor, StepMotor, OLed, PiezoBuzzer, PixelDisplay, TextLCD, FND, Led Bar § Input Object (C/C++, Python3): Switch, Touch, Reed, LimitSwitch, Mercury, Knock, Tilt, Opto, Pir, Flame LineTrace, TempHumi, UltraSonic, Shock, Sound, Potentiometer, CdS, SoilMoisture, Thermistor, Temperature, Gas, Dust, Psd. Gesture § AI (Python3): Linear Regression, Logistic Regression, Perceptron, ANN, DNN, CNN, DQN § Hardware Specifications: § Main Module: § CPU: 6-core NVIDIA Carmel ARM v8.2 64-bit; 6MB L2 + 4MB L3; Max Freq: 2-core@1900MHz, 4/6-core@1400Mhz
§ GPU: 384-core NVIDIA VoltaTM GPU with 48 Tensor Cores Max Freq: 1100MHz § Memory: Minimum 8GB 128-bit LPDDR4x@ 1600MHz § Video Encoder: 2x464MP/sec(HEVC),2x4k@30(HEVC); § Video Decoder: 2x690MP/sec(HEVC), 2x4k@ 60(HEVC) § CSI Camera: Up to 6 cameras (36 via virtual channels); § Connectivity: Dual Band Wireless Wi-Fi 2GHz/5GHz Band, 867Mbps, 802.11ac; Bluetooth 4.2; 10/100/1000 Base-T Ethernet § Display: 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 § USB: Min. 4x USB 3.0, Min. USB 2.0 Micro-B § Base Board: § Camera: § Image Sensor: § Video: 1080p30, 720p60 and 640x480p90 § Linux Integration: V4L2 Driver Available § Sound: § Sound IC: WM8960 § Channel: Input 2ch, Output 2ch § 2CH Microphone § Stereo Speaker § Servo Motor: § TEXT LCD: § Interface: GPIO § LED: § (1×3) Group x 3EA: Light Display § Stand Light Display 1EA § Interface: GPIO § RGB LED: § Size: 5pi § Wavelength: RED (630 nm), GREEN (525 nm), BLUE (430 nm) § Interface: I2C § PIEZO: § Rated Current: Max 30mA § FAN: § Size: 30 X 30mm § Speed: 900RPM § Supply Voltage: 5V § LED BAR x 2EA: § Size: 20 X 10mm § Humidity & Temperature Sensor: § PIR Sensor: § DUST Sensor:
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