AI SoC Camera Module AiyeCam-Talpa Introduction

 

 

AiyeCam-Talpa Series Product can host face detection algorithms, which could be used to identify a real person's face. It could be applied to a fun toy such as a face-tracking owl. As long as a face is detectable, the eyes of the owl could be made to move, following the face movement. Alternatively, a toy can be equipped with an interactive device, such as an appropriate status LED or sound effect triggered when it detects a face. As a result, it could be adopted as a watchdog for auto audio playback with various “Welcome” messages or designed into a plush animal toy to play specific animal sounds. An auto “Hello” doll or “Voice Memo” device can automatically deliver voice messages to the audience once the relevant face has been detected in front of the device. In addition, the SoC is also capable of performing unique face ID recognition. This provides the toy with owner identification features. Once the toy is unpacked, the child can start to train the toy to memorize his or her face and even input a voice recording of their name. The toy will identify its owner by playing back the name after training. All the detection and recognition operations are done locally without internet connection requirements.

 

AiyeCam-Talpa AI camera can work independently and identify the movement of an object by seeing a real image instead of just detecting frame-to-frame differences. The result is that a passing car's movement or a tree swaying in the wind cannot cause the type of false triggers seen with traditional motion detection sensors. The AI SoC’s motion detection could be programmed to trigger the required function once it has detected a target object such as a human being.

AiyeCam-Talpa AI camera can not only detect a single object but it can also be programmed to detect multiple different target object types. The object types that can be detected include a human being's body, a kind of animal, or even a gesture. The control behavior can be programmed to reflect what it can see. As a lighting controller, it could auto-enable the lighting level according to different target scenarios - using motion detection at a long distance, then moving to pedestrian detection or even face detection as the target gets closer. Light dimming can be changed gradually according to natural usage without any buttons needing to be pressed. A more sophisticated example could be to control tap water flow by gesture moving without touching the tap, including temperature control. The results are that the convenience of the home environment can be improved by using real AI without cloud-based connectivity.

 

Touchless devices and gesture control are changing the way you interact with technology and opening up new possibilities for convenience and innovation. Here are just a few of the benefits of gesture-control cameras and touchless devices:

• Convenience: With touchless technology, you can simply wave your hand to answer a phone call, turn on the lights, or control your smart home appliances.
• Hygiene: In the age of COVID-19, touchless devices offer an extra layer of hygiene, as they eliminate the need to touch screens and buttons physically. This is especially important in public settings, like retail stores and restaurants.
• Fun: AI gesture control cameras can add a new level of fun to your daily routine. For example, you can use touchless technology to play games, control your TV, or even have a virtual jam session with your friends.
• Innovation: Touchless devices and gesture control cameras are constantly evolving and expanding into new industries, which means that the possibilities for innovation are endless.
• Accessibility: Touchless devices and gesture-control cameras can provide an alternative way for people with disabilities or mobility issues to interact with technology. For example, people with limited hand mobility might find it easier to control their smart home with facial expressions or voice commands.

 

Unlike the current ISP recognition solution, AI model training can recognize the same type of objects. The structure is simple, and the solution combines the image sensor and MCU and does not require the connection of other external main chips. Models and recognition targets can be updated at any time to increase diversity. AI SoC algorithms work by processing symbols representing objects or concepts and using logic-based programming, where rules and axioms are used for reasoning and deduction.

The AI camera can identify the numbers and transmit the data via wireless transmission to the “control room” The structural design covers the data outside the numbers on the dial to improve the recognition effect. High efficiency and low power consumption, using timing MCU, only needs to be turned on at a fixed monthly time to record information automatically.

 

The AI camera module development board, AiyeCam-Talpa-DB, is designed as a complete system that can work independently. Its SPI Flash memory can be updated to provide the required detection or recognition features. The  AI camera module development board is designed for engineering development purposes with a small system board with sufficient GPIOs for debugging purposes. It is defined as a simulation system board for different function requirements. The developer could use it for early-stage prototyping and working sample development. Once coding has been fine-tuned and optimized using this engineering board, the production board can use the same verified code enabling the developer to proceed with functional verification with minimum additional effort.