LoRa Image and Video transmission wireless | AI on HuskyLens from DFRobot | lora lorawan
TLDRIn this video, the presenter, Akers, discusses a DIY project involving the HuskyLens from DFRobot, a device equipped with a camera, display, and AI for image recognition. The project aims to transmit image and video data wirelessly over long distances using LoRa technology. Since the HuskyLens lacks a LoRa module, Akers integrates an LR907 LoRa module from Reacts to achieve this. The video demonstrates how to connect the HuskyLens with an Arduino and the Reacts module for data transmission. It also shows the receiver side using an ESP8266 FireBeetle. The presenter covers various features of the HuskyLens, including face recognition, object tracking, and color recognition, and suggests potential applications such as remote controlling robots or creating a long-range wireless device for security purposes. The video concludes with an invitation for viewers to suggest more projects utilizing the HuskyLens and LoRa modules.
Takeaways
- 📷 The HuskyLens from DFRobot is a device with a camera, display, and processor for image recognition and AI.
- 🔌 It lacks a LoRa module, which is addressed by integrating an LR907 LoRa module from Reacts.
- 🚀 The combination of HuskyLens and the LoRa module allows for the transmission of image recognition data over long distances, up to hundreds of kilometers.
- 🎨 The HuskyLens features white LEDs and an RGB LED that can be controlled via software.
- ⚙️ It includes a programming header, serial or I2C header for controlling the device or retrieving data.
- 📺 The device has an LCD screen for displaying options and feedback, and it comes with pre-loaded firmware for immediate use.
- 👾 It can perform face recognition, object tracking, object recognition, line tracking, color recognition, and tag recognition.
- 🔗 An Arduino is used to connect the HuskyLens to the Reacts LoRa module for data transmission.
- 🔌 A voltage divider is used to match the Arduino's 5V logic level with the Reacts module's 3.3V logic level.
- 🔗 For the receiver side, an ESP8266 Fire Beetle is used, which is directly connected to the Reacts LoRa module.
- 💡 The setup enables remote control of devices or robots based on image recognition data transmitted wirelessly via LoRa.
- 🌟 The potential applications are vast, including controlling heavy machinery or creating a wireless doorbell, using the LoRa modules for long-range communication.
Q & A
What is the main function of the HuskyLens device discussed in the video?
-The main function of the HuskyLens device is image recognition and artificial intelligence processing. It captures images and recognizes objects, faces, lines, colors, and tags, then transmits this data for further use.
How does the video demonstrate the face recognition feature of the HuskyLens?
-The video demonstrates the face recognition feature by showing the HuskyLens detecting a face and assigning it an ID. It recognizes the face of a person, in this case, the prime minister, and assigns it 'Face ID 2'.
What additional functionality does the HuskyLens offer besides face recognition?
-Besides face recognition, the HuskyLens also offers object tracking, object recognition, line tracking, color recognition, and tag recognition.
What is the role of the Reacts LR907 LoRa module in this setup?
-The Reacts LR907 LoRa module is used to transmit the data captured and recognized by the HuskyLens to a far distance. It enables long-range wireless communication of the recognized data.
How is the HuskyLens integrated with the Reacts LR907 LoRa module?
-The HuskyLens is integrated with the Reacts LR907 LoRa module using an Arduino. The data from the HuskyLens is sent to the Arduino and then transmitted to the LoRa module for long-range communication.
What is the significance of the PCB GoGo sponsorship mentioned in the video?
-PCB GoGo specializes in PCB fabrication and assembly. They sponsor the video to showcase their services, which include high-quality PCBs for various stages of production, from prototype to mass production.
What is the purpose of the circuit diagram provided in the video?
-The circuit diagram is provided to illustrate the connections and setup needed to integrate the HuskyLens with the Reacts LR907 LoRa module and Arduino. It helps viewers understand how to build the system discussed in the video.
How does the video show the transmission of data from the HuskyLens to a distant receiver?
-The video shows the transmission of data by using a serial monitor connected to an ESP8266 receiver. The recognized data from the HuskyLens, such as face or object IDs, is displayed on the serial monitor at the receiver's end.
What are some potential applications of the system built with the HuskyLens and LoRa modules?
-Potential applications include remote controlling of robots based on image recognition, creating wireless long-range devices for surveillance, and controlling heavy machinery based on the data received from the HuskyLens.
Where can viewers find more information about the project, including the circuit diagram and code?
-Viewers can find more detailed information about the project, including the circuit diagram and code, on the instructables and GitHub pages linked in the video description.
How does the video encourage viewer interaction?
-The video encourages viewer interaction by inviting comments and suggestions for projects that utilize the HuskyLens and LoRa modules. It also encourages viewers to subscribe to the channel and hit the bell icon for notifications.
Outlines
🤖 Introduction to Husky Lens and Project Overview
The video begins with the host, Akers, introducing himself and mentioning a previous video about the EdgeX device. He then introduces the Husky Lens, a device with a camera and artificial intelligence capabilities for image recognition, but lacking a LoRa module. Akers plans to combine the Husky Lens with a Reacts LR907 LoRa module to transmit data over long distances. The video is sponsored by PCB Gogo, a company specializing in PCB fabrication and assembly. The Husky Lens is highlighted for its attractive packaging and accessories, including a silicone case and a mount for robot chassis. The lens features LEDs, an RGB LED, a switch, a push button, connectors for programming and data transfer, and a premium gold and black finish board. The host also mentions the pre-loaded firmware and the instant boot-up with navigation options, including face recognition.
🔄 Integration of Husky Lens with Reacts LoRa Module
In this paragraph, the host explains the process of integrating the Husky Lens with the Reacts LoRa module to transmit image recognition data over long distances. The Husky Lens is capable of recognizing images, capturing data, and sending it to the Reacts module. The Reacts module then uses LoRa to transmit this data far away. The host clarifies that an Arduino is used to connect the two devices due to compatibility issues. A comprehensive video on the Reacts module is referenced, and the host provides a brief overview of the transmitter side circuit, which involves connecting the Husky Lens to the Arduino and the Reacts module. The circuit diagram is promised to be available on the instructables and GitHub page of the project. The receiver side uses an ESP8266 FireBeetle device, and the simplicity of the circuit is emphasized. The host also mentions that the code and circuit diagrams will be available on GitHub and instructables for further exploration.
🚀 Demonstration of Husky Lens Features and Functionality
The host demonstrates the functionality of the Husky Lens, showcasing its face recognition feature by detecting a face (Face ID 2) using a tablet. He explains that the lens can learn and recognize faces, and also has object tracking, line tracking, color recognition, and tag recognition capabilities. The host then shows how the data is transmitted through the Reacts LoRa modules, with the receiver node displaying the data on a serial monitor. The possibilities of using the Husky Lens with LoRa for various applications, such as remote controlling robots or creating wireless devices, are discussed. The host invites viewers to share their ideas for projects using the Husky Lens and LoRa and concludes the video with a call to action for subscriptions and notifications.
Mindmap
Keywords
💡LoRa
💡HuskyLens
💡Artificial Intelligence (AI)
💡Image Recognition
💡Object Tracking
💡LoRa Module
💡Arduino
💡ESP8266
💡Serial Communication
💡PCB fabrication
💡Remote Control
Highlights
The video discusses the integration of AI with wireless transmission using the HuskyLens and LoRa modules.
HuskyLens is a device with a camera and AI capabilities for image recognition, but lacks a LoRa module.
The LoRa module used in the project is the RY-LR907 from Reacts.
HuskyLens is capable of face recognition, object tracking, and other image processing tasks.
The project aims to transmit image recognition data over long distances using LoRa technology.
PCB GoGo is highlighted as a sponsor, specializing in PCB fabrication and assembly.
The HuskyLens comes with a silicone case, mount, and screws for versatile usage.
The device features white LEDs, an RGB LED, a slider switch, and a push button for user interaction.
HuskyLens has a programming header and a serial/I2C header for connectivity.
The onboard camera of HuskyLens is used for capturing images and applying image recognition.
The device also includes an LCD screen for displaying information and options.
Arduino is used to connect the HuskyLens with the Reacts LoRa module for data transmission.
The video provides a detailed look at the circuit diagram and setup for the project.
The LoRa transmission can reach distances of up to hundreds of kilometers.
The project demonstrates the potential for remote controlling devices based on image recognition.
The video encourages viewers to explore more projects using the HuskyLens and LoRa modules.