To collect, organize, and analyze various riding and sensor data to enhance the efficiency, safety and user experience of cycling.
Apply AI technical to make your riding more safety and comfortable, real-time to control and collect cycling data to optimize riding experience.
Work seamlessly with your E-bike and brings an excellent new level riding experience.
Control peripheral sensor and motor, ensure you have a comfortable and responsive riding.
Intel Core i5 or above
16GB or above capacity
Create a streaming composite processor using Nvidia graphics card and computing power of SM60 or above
Attendance
Access
Control
Mask detection
Temp. measurement
CPU:
Quad-core ARM- 2.0GHz Cortex-A53
APU: Tensilica VP6 core
Memory: RAM 2GB ,ROM 16GB
8” touch display,
resolution 800×1280
2M RGB camera
2M IR camera
Accuracy:± 0.3℃
Distance:0.4 ~ 0.8m
Range:32~43℃
Size:229 × 128.2 × 20mm
Power supply:DC12V-2A
Mount:Support wall-mounted/86 type box
VESA bracket:100 × 100mm
Support Customer portrait database editing
Support face recognition function
Support mask recognition function
Supports anti-counterfeiting
110V AC
LoRaWAN, Wi-Fi
2 million pixels
IP65
LoRaWAN
(920 ~925MHz),
Wi-Fi(2.4G/5G)
Instrument devices of various styles can accommodate the installation
Transmit back to the Gateway receiver through LoRa/Wi-Fi technology
2 million pixels
Thermal imaging camera
Support night vision monitoring function
Range: +25℃ ~ +500℃
Supports abnormal temperature rise alert and high-temperature abnormal alert
Size: 8.4*13.02*16.57 cm
Power supply: DC12V
Support browser multimedia streaming display
HTI-i350 AIoT module, featuring the MTK i350 quad-core chip architecture and an independent acceleration processor, is suitable for use in AIoT terminals for visual and voice processing. It can be applied in IoT product designs such as 'Smart Home,' 'Artificial Intelligence,' 'Retail Vending Machines,' 'Facial Recognition Access Control Systems,' and 'Production Line Fixtures,' assisting developers in rapidly implementing projects.
The module integrates a wealth of peripheral expansion interfaces, allowing developers to flexibly design new products. It features a versatile power supply module that can be powered separately by DC-12V or batteries, enabling rapid integration into both fixed and portable product designs.
MIPI-DSI/ MIPI-CSI/
Camera CPI-8bit/ I2C/ HDMI/
USB2.0-Host/ USB-OTG
Supports transmission control signal protocols such as 'Relay (NO/NC/COM)
/Wiegand Communication/GPIO/PWM'
Two power supply modes, selectable based on product characteristics
(DC-12V or lithium battery)
Adopts Android-10 open platform, equipped with a wealth of application extension resources
Users can choose from a variety of accessories such as displays, cameras, wireless communication, speakers, and fingerprint recognition, expediting application development.
93.98mm*78.74mm
CPU:MT8365 (i350)
PMIC:MT6357
Sensor:Proximity + Light Sensor
Accelerometer- 3 axis
System Power Supply:
DC12V /Li-Battery ,RTC Battery
OS: Android 10.0
Memory:LPDDR4- 2GB
eMMC5.1- 16GB
Support
MIPI(LVDS):max. resolution 4-Lane, 1920*1200 Micro-HDMI
MIPI-CSI 2lane
Camera parallel interface(CPI-8bit), PCLK up to 93.75MHz
USB UVC Camera
Wifi-2.4G/5G(支援802.11a/b/g/n/ac)
BT5.0
RJ45 Ethernet (w/ USB extension module)
Digital-MIC*2
nalog-MIC*1
SPK-AMP*2
Relay switch((NO/NC/COM), rating: 12V/1A
Wiegand, support 26bits/34bits(5V)
PWM out (1.8V
UART*2 (1.8V or 3.3V)
UART*1 (1.8V)
I2C*4 (1.8V)
Host USB Type-A female connector
OTG USB micro-USB connector
JATG (1.8V)
GPIO (1.8V)