AI SoC Camera Module AICM1001 Introduction

 

 

AI1001 SoC 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, equipping a toy with an interactive device so that when it detects a face, an appropriate status LED or sound effect will be triggered. As a result, it could be adopted as a watchdog for auto audio playback with various “Welcome” messages or designed into in 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 with no internet connect requirements.

 

AI camera can work independent and identify the movement of an objet 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 SoC’s motion detection could be programmed to trigger the required function once it has detected a target object such as a human being.

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 body, a type of animal or even a gesture. The control behavior can be programmed to reflect what it can see. In a lighting controller, it could auto enable the lighting level according to different target scenarios - using motion detection at a far 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 touch the tap, including temperature control. The results are that the home environment's convenience can be improved by using real AI but without the need for 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 physically touch screens and buttons. 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: For people with disabilities or mobility issues, touchless devices and gesture control cameras can provide an alternative way to interact with technology. For example, a person with limited hand mobility might find it easier to control their smart home with facial expressions or voice commands.

 

Different from the current ISP recognition solution, the same type of objects can be recognized through AI model training. The structure is simple, and the solution combining SOC and MCU 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 that represent objects or concepts and then using logic-based programming, where rules and axioms are used for reasoning and deduction.

The AI camera can identify the numbers and transmits 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, it only needs to be turned on at a fixed time every month to record information automatically.

 

The AICM1001 camera module's development board is designed as a complete system that can work independently. It's SPI Flash memory can be updated to provide the required detection or recognition features.

Evaluation board is designed for engineering development purposes with a small system board which gives sufficient GPIOs for debug 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.