Part No. STEM
Quanser STEM Interactive Exhibit showcases self-driving and AI technologies through hands-on activities, helping audiences explore intelligent vehicle systems.
The Quanser STEM Interactive Exhibit demonstrates exciting self-driving technologies in an accessible and interactive scenario that highlights some of the critical systems that are used by modern vehicles today.
The exhibit is designed to be a simple solution for a wide variety of campus teams including faculty, summer programs, administration, and outreach departments to make their university teaching and research stand out.
Audience gain a hands-on understanding of each element of an intelligent system and participate in pre-defined activities and challenges through the app interface:
• SEE: Participants watch what the vehicle is currently seeing from the camera point of view.
• THINK: Participants observe the operation of a state machine and artificial neural network as they work together to control the behaviour of the vehicle.
• DO: Participants get visibility into the power and energy usage of the car and have the ability to modify the speed and acceleration of the vehicle and monitor those effects on the power system. They can monitor and change car signals, like turning lights on/off or even honk.
• TALK: Each car communicates to the control station laptop which can adjust the traffic light to achieve the optimal flow of traffic.
• INTERACT: Participants are encouraged to place traffic signs along the border of the track to observe their effect on the behaviour of the vehicles.
| Specifications |
|
| Dimensions | 39 x 21 x 21 cm |
| Weight (with batteries) | 2.7 kg |
| Power | 3S 11.1 V LiPo (3300 mAh) with XT60 connector |
| Operation time (approximate) | • ~2 hours 11 m (stationary, with sensors feedback) • 30 m (driving, with sensor feedback) |
| Onboard computer | • NVIDIA® Jetson™ Orin AGX • CPU- 2.2 GHz 8-core ARM Cortex-A78 64-bit • GPU- 930 MHz 1792-CUDA/56-TENSOR cores • NVIDIA Ampere GPU architecture 200 TOPS • Memory- 32GB 256-bit LPDDR5 @ 204.8 GB/s |
| LIDAR | LIDAR with 16k points, 5-15 Hz scan rate, 0.2-12m rang |
| Cameras | • Intel D435 RGBD Camera • 360° 2D CSI Cameras using 4x 160° FOV wide angle lenses, 21fps to 120fps |
| Encoders | 720 count motor encoder pre-gearing with hardware digital tachometer |
| IMU | 6-axis IMU (gyroscope & accelerometer) |
| Safety features | • Hardware “safe” shutdown button • Auto-power off to protect batteries |
| Expandable IO *Subject to change |
2 user PWM output channels Motor throttle control Steering control 2 unipolar user analog input channels, 12-bit, +3.3V motor current analog inputs 3 encoder channels (motor position plus up to two additional encoders) 11 reconfigurable digital I/O 3 user buttons 2 general purpose 3.3V high-speed serial ports* 1 high-speed 3.3V SPI port (up to 25 MHz)* 1 1.8V I2C port (up to 1 MHz)* 1 3.3V I2C port (up to 1 MHz)* 2 CAN bus interfaces (supporting CAN FD) 1 USB port 1 USB-C host port 1 USB-C DRP |
| Connectivity | Wi-Fi 802.11a/b/g/n/ac 867 Mbps with dual antennas 1x HDMI 1x 10/100/1000 BASE-T Ethernet |
| Additional QCar Features | • Headlamps, brake lights, turn signals and reverse lights • Individually programmable RGB LED strip (33x LEDs) • Dual microphones • Speaker • 2.7″ LCD TFT 400×240 for diagnostic monitoring |
The exhibit is designed to be a simple solution for a wide variety of campus teams including faculty, summer programs, administration, and outreach departments to make their university teaching and research stand out.
• Engage and Inspire: Bring engineering concepts to life with a meaningful STEM experience that sparks curiosity and motivation among audience.
• Connect With More Audience: Effortlessly setup and tear down a compact exhibit to expand your opportunities to leverage your investment across the department and institution.
• Worry Free: The comprehensive package includes everything you need from tools and software to suggested sample scripts for various experience levels.
• Control Station Laptop
• Map and Boarders
• Traffic Lights & Signs
• WIFI Router
• Guided Experiences
• QCars (Sold Seperately)
Quanser QBot Platform is an autonomous ground robot with LiDAR, cameras, and NVIDIA Jetson Orin Nano for teaching and research in mobile robotics.
Quanser Active Mass Damper is a bench-scale system for studying vibration control in tall structures using active damping, sensors, and DC motor-driven cart.
QLabs Virtual QCar 2 is a digital twin of the 1/10 scale self-driving car, enabling safe development and validation of autonomous algorithms with MATLAB or Python.
Quanser QDrone 2 quadrotor combines NVIDIA Jetson Xavier NX processing, multiple cameras, and a carbon fiber frame for real-time vision and AI research.
บริษัท เอ็นเทค อินดัสเทรียล โซลูชั่น จำกัด
17/121 ซอยงามวงศ์วาน 47 แยก 48 แขวงทุ่งสองห้อง
เขตหลักสี่ กรุงเทพฯ 10210
กรุณาระบุจำนวนสินค้าที่คุณต้องการ แล้วกดปุ่มด้านล่าง
จำนวน
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