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2MP Smart Module
Project: Product Specification | page_id: 1664
| 2MP Smart Camera Module | |
|---|---|
| Order Model | T40-E-E8G-2053-40x40 |
| CPU | XBurst®2 up to 1.2GHz, dual core |
| Memory | Built-in 2Gb |
| MCU | 600MHz RISC-V coprocessor, 32-bit, in-order 5-stage pipeline core |
| AI | Supports int16/int8/int4/int2, 8TOPS |
| Video Encoding | Supports H.265/H.264 encoding, maximum 1920x1080@30fps |
| Audio Input | Sampling rate: 8K/12K/16K/24K/32K/44.1K/48K/96K |
| Audio Output | Supported |
| Storage | Supports eMMC 5.1 |
| Supply Voltage | DC 3.3~3.7V |
| AI Capability | Person, vehicle, face, animal |
| USB | USB 2.0 OTG |
| Network | RJ45 10/100M |
| Power Supply | DC 12V |
| Operating Temperature | 0~70℃ |
| Service Life | Continuous operation for more than 5 years |
| Dimensions | 38 × 38 mm |
Product Images
Internal Module Images
Effect Demonstration
Electric bicycle and pedestrian recognition effect.mp4
Ordering Information:
- T40-E-E8G-2053-40x40-BCam Dome 185
- T40-E-E8G-2053-40x40-Bullet Bullet 190
- T40-E-E8G-2053-40x40-LTE-Bullet 4G Bullet 220
FAQ
| Question | Answer |
|---|---|
| 1. Does this have a sensor on it? | It comes with adhesive backing, is a pure module, and includes a sensor |
| 2. Is the source code for license plate recognition provided? | The source code is not provided |
| 3. Is this a low-power device that wakes up and performs recognition when the radar detects a car? | It is not that fast; it needs to stay powered on, with a power consumption of about 1W |
| 4. How long does it take to boot? | About 5 seconds; with fast boot optimization it can be about 1 second |
| 5. Can the lens be matched by ourselves? Are there different focal lengths? | Yes, choose a module with a sensor but without a lens |
| 6. What does the technical integration fee mean? | Technical support to help connect to your existing system |
| 7. Do you have SDK development materials? | There is an interface document providing http interfaces: Interface Specification -- ShowDoc (xstrive.com) |
| 8. Can it recognize helmets, electric bicycles, etc.? | Yes, but the algorithm is charged separately |
| 9. Is the hardware source code open source? | It is not open source |
| 10. Does it support the Linux 5.8 platform? | This is a finished device with serial port connection, which is system-independent |
| 11. Can it capture images while outputting license plate recognition results? | Yes, it can. Different recognized license plates will be captured automatically |
| 12. What are the resolution and frame rate? | The resolution is 1920x1080, the sub stream is 1280x720, and the frame rate is 25 |
| 13. Can the storage path of automatically captured images be changed? | No. The captured images are stored in the system /media/snap folder |
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