Top 7 3D Eye Tracking Use Cases & Applications

Mata adalah jendela jiwa. Benar atau tidaknya hal ini, yang tidak dapat disangkal adalah seberapa banyak informasi yang dapat disampaikan mata kepada kita tentang satu sama lain. Itu hipotesis mata kooperatif suggests that the human eye has evolved to increase the size and brightness of the white sclera, for us to communicate better by following each other’s gaze. By combining this human feature with new technologies, like 3D eye tracking, we can further advance the way we communicate and the machines around us.

Speech recognition, motion detection, and touch control are all elements that we have seen integrated into everyday devices. One essential part that is missing is looking into the eyes of the user and understanding their attention, interest, and engagement, as people would naturally do when interacting with each other. Attention tracking is a game-changer. 

The introduction of 3D eye tracking, i.e., using consumer depth-sensing cameras to track the eye-gaze, kini membuka aplikasi baru yang menarik untuk interaksi manusia-mesin.

Berikut adalah aplikasi pelacakan mata 3d teratas di berbagai bidang:

1. Attention Tracking in Retail

Instead of asking a pre-selected focus group to wear glasses for a market research study on shelf attention, potentially influencing their behavior, 3D eye tracking allows for accurately tracking passersby’s gaze accurately and non-intrusively. By monitoring the customer’s attention, retailers can then analyze product performance. Attention tracking helps companies with valuable analytics. 3D eye tracking can provide shelf-attention analytics that identifies the number of views and focal points without the need for calibration. Market research companies can then use those gained insights to suggest optimizations to retailers concerning their sales approach and customer experience. Eye tracking analytics will propel your company’s competitive advantage.

Pria Berdiri Di Depan Rak Belanja Menggunakan Peta Panas Pelacakan Mata 3D Ritel

2. Pelacakan mata untuk Robotika

Both are enabled to detect and predict people’s intentions and attention towards objects.

3D gaze tracking within robotics allows for a more natural and collaborative human-robot interaction. Currently, robots cannot accurately read human levels of engagement. However, given their “pair of eyes” that use depth-sensing cameras together with eye tracking software, they can generate a 3D gaze vector. Both are enabled to detect, track and predict people’s intention and attention towards objects. Use cases are found in collaborative robots, educational robots, service robots, or assistive robots, especially when a wide range of movement and interaction with real objects is required.

Watch a demo of this proyek penelitian robot pendidikan oleh Profesor Joakim Gustaffson dari Royal Institute of Technology di Stockholm. Sensor yang digunakan untuk pelacakan mata 3D adalah kamera Intel RealSense yang ditempatkan di depan a Robot Furhat.

3. Pelacakan mata untuk Otomotif

Eye tracking for the automotive industry will make roads safer. The limited tracking box and the need for a multisensor set up to track the gaze in 3D limit the applicability of current eye tracking technologies in cars. Gaze recognition will be solving two main issues concerning human-car interaction.

Otomotif: Pemantauan Pengemudi & Pelacakan Mata

Menurut Program Penilaian Mobil Baru Eropa (NCAP), not only will driver monitoring be considered a “primary safety” standard by 2020, but they also suggest that “the assessment will revolve around how reliably and accurately the status of the driver is detected.” Therefore, detecting the driver’s attention to monitor and enable coordinated handovers in semi-autonomous cars will be a must. In the future, the driver is constantly being monitored, and his attention is tracked using depth-sensing cameras. Using the cameras’ data, the tracking software checks the driver’s attention.

Co-Pilot Virtual Otomotif

Cars are robots. They are already interacting with the driver based on voice and gesture commands. However, attention sensing and tracking in the automotive industry have lagged. 3D eye tracking software for the automotive sector can enable the “seeing car assistant” to sense the driver and passengers’ gaze towards parts of the in-car infotainment system such as the dashboard, central console, and mirrors,  but also allow natural interactions with augmented reality menampilkan head-up dan bahkan memungkinkan kopilot virtual untuk mendeteksi pandangan ke arah objek di luar mobil.

Man In Car Menggunakan Perangkat Lunak Pelacakan Mata 3D

4. Perangkat konsumen

Mobile phones, like the iPhone X or the Xiaomi Mi8, and laptops with user-facing depth-sensing cameras can be upgraded to run 3D eye tracking software without needing an additional eye tracking device. The depth-sensing camera is then enabled to detect screen attention towards parts of the screen, possibly allowing the user to navigate the device partially with their eyes. Eye tracking technology in mobile phones will vastly improve users utilizing a new way of input. For gaming laptops, 3D gaze tracking can heighten the gaming experience when interacting with avatars or dimming out info menus that are out of focus to declutter the screen.

Kamera Penginderaan Kedalaman Menghadapi Pengguna Di Iphone

5. Solusi teknologi bantu

Customized software solutions using consumer depth-sensing cameras can be used to assist less-abled users in controlling a computer, with mouse functions being mapped onto head movements, facial gestures, and gaze tracking. The enhanced assisted ability would allow the user to have better communication with greater ease. Users can also guide a robotic assistive arm towards their object of interest while reducing the need for tedious joystick control to a minimum. In the video below, Henny Admoni, Asisten Profesor di Institut Robotika pada Universitas Carnegie Mellon, mempresentasikan penelitiannya tentang bagaimana pengenalan tatapan dapat meningkatkan koordinasi manusia-robot.

6. Pelacakan mata dalam Periklanan

Advertisers can better analyze the attention and focus of the consumer on outdoor advertisements by using 3D eye tracking analytics that does not require any calibration process.

Audience analytics can inform the number of views of the advert, the emotional reception, the most attentive time of day, and other real-time statics that are beneficial to the advertiser.

7. Penelitian perilaku

Eye tracking software is often used to diagnose specific behavioral syndromes.

Conditions such as ADHD and autism can be more easily detected by tracking how people visually consume information. However, especially for children, it can often be challenging to keep them within the tracking range of current eye trackers and sometimes even impossible to follow a strict calibration procedure. 3D eye tracking can alleviate these pain points, with a broader tracking range, under various extreme head positions, and with the option to allow uncalibrated tracking. The advantages of eye tracking software of Eyeware are, for example, no glasses and the use of consumer depth-sensing cameras.


Kami akan dengan senang hati membantu Anda mencoba pengkodean tatapan 3D waktu nyata dengan perangkat lunak kami. Hubungi Tim Eyeware dengan pesan langsung.