DIY Project utilizing SEEED Studio Grove Vision AI V2 Module
Using embedded Vision AI for detecting reckless bravados trespassing and breaking proximity safety rules in zoos.
🚩 Problem Statement : What if the sensitive and danger areas of zoo get continuously monitored by Vision AI based System which will detect human presence in such areas and alerts the concern authorities immediately to take preventive measures.
We can also use existing CCTV cameras streams/feeds from zoo to identify such incidents. But it will require significant amount of computational power to process that much amount of video data.
💡 Proposed Solution : So in such cases, we can take leverage of embedded Vision AI technology to perform video processing/ analytics at Edge. For that we require processor/microcontroller boards which can perform Computer Vision at the Edge.
- Seeed Studio Grove Vision AI Module V2
- Raspberry Pi Camera Module
- Seeed Studio Seeed XIAO BLE nRF52840 Sense
- Windows/Linux/Mac OS computer x1
🚀 SEEED Studio's Grove Vision AI Module V2
The Grove - Vision AI V2 is a thumb-sized AI vision module equipped with the WiseEye2 HX6538 processor, which adopts the Arm Cortex-M55 dual-core architecture. It features a standard CSI interface and is compatible with Raspberry Pi cameras. It has an onboard digital microphone and an SD card slot.
- Arduino IDE 2.0
- Telegram App
🔗 https://www.hackster.io/maheshyadav216/embedded-vision-ai-based-zoo-security-guard-e4c0da
📕 YouTube Video Link
📒 Important Links
🔗 https://wiki.seeedstudio.com/grove_vision_ai_v2/
🔗 https://wiki.seeedstudio.com/grove_vision_ai_v2_webcamera/
🔴 Grove-Vision-AI-Module-V2 Purchase Links -
🛒 🔗 https://www.seeedstudio.com/Grove-Vision-AI-Module-V2-p-5851.html
Shield:
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
