With its advanced color threshold segmentation algorithm, Tonybot can accurately detect and distinguish a wide range of colors. Additionally, it can be programmed to trigger a variety of responses based on the colors it recognizes.

Utilizing a lightweight Convolutional Neural Network, Hiwonder Tonybot can detect faces within its field of view and trigger the corresponding predefined programs accordingly.

By programming Tonybot, it can detect objects of different colors and automatically track colored blocks based on predefined instructions.

Equipped with the ESP32-S3 vision module, Tonybot esp32 humanoid robot can detect lines of various colors and automatically follow them, enabling precise vision-based line tracking.

Hiwonder Tonybot is equipped with an AI voice interaction module that allows it to recognize both Chinese and English commands. This enables the robot to perform actions such as moving forward, moving backward, and bowing.

Tonybot can detect voice commands within a 5-meter range and automatically execute the corresponding predefined actions, while broadcasting the appropriate response message.

If Tonybot falls, you can issue the wake-up command followed by the appropriate voice command to initiate its fall recovery process.

When Tonybot detects an object in front, it will broadcast "Hello, welcome!" You can customize the broadcast message through programming to suit your needs.

Tonybot captures live data from its RGB ultrasonic sensor, processes the distance through its large AI model, and instantly announces the results aloud.

By pairing its Large Language Model with real-time IMU data, Tonybot perfectly understands your commands, senses its physical posture, and replies with instant voice feedback.

By fusing its large AI model with an ultrasonic sensor, Tonybot understands object information in its view and accurately detects the distance to targets ahead.

Powered by its large visual model, Tonybot comprehends scenes within its field of view. By assessing environmental features against its database, it delivers intelligent feedback.

Using the app, you can remotely control Tonybot's glowing ultrasonic sensor, allowing it to emit light in a variety of colors.

Users can control the robot to perform dances and other predefined action groups via the app, providing a flexible and intuitive remote control experience.

Tonybot smart robot can monitor the current temperature and humidity in real time and display the data on its LED dot matrix screen.

Tonybot is equipped with advanced AI vision and sensors for face recognition, object detection, proximity alerts, collision warnings, and pose deviation. Users receive real-time alerts and feedback via the app for prompt issue awareness.

The dot matrix module is on Tonybot's shoulder and displays the distance detected by ultrasound in real time.

The sound sensor is installed on the shoulder of Tonybot. When it hears different times of sound, the robot performs actions such as push-ups, sit-ups or twisting.

Touch sensors are installed on Tonybot's shoulders, with a light touch, the robot will say hello.

When the ultrasonic module detects an object in front, the fan automatically turns on, otherwise it turns off.