The innovative pioneer to sensor fusion technology of traditional RGB 2D image and radar 3D image, solves the limitation of complete recognition functions that single radar detection technology or image camera detection technology could not achieve, precisely performs object detection, classification, measurement to size , distance, coordinates, etc., and greatly increases the applicable fields of the scheme (such as obstacle recognition on railway and detection / road site scattered object detection / V2X vehicle-to-everything, etc. )

With the gradual improvement of AI chip computing power and ioNetworks-built lightweight AI model, as well as thanks to the support by chip makers, ioNetworks has embedded Lidar & iToF fall recognition AI engine into the Qualcomm Snapdragon 845 mobile platform. Besides Qualcomm platform, ioNetworks has started to cooperate with other chip designers: Ambarella, MediaTek and Novatek for AIoT Devices (edge AI projects). In addition, the driver monitoring system (DMS) will be developed continuously to cooperate with domestic and foreign companies for autonomous vehicle and electric automobile transportation and driving recorder manufacturers, and will be applied to new markets as well as mobile phones, driving recorders, autonomous driving systems, intelligent digital cameras and access control devices in the future.

Intelligent security applications, such as face recognition attendance system, face temperature measurement, ultra 3D liveness face recognition access control, blaze detection, site wearables detection, tripwire detection, etc., provide complete safety control solutions for enterprise, groups, and governments, etc. For example, the face attendance system supports enrollment of more than one million faces, which not only contains high accuracy on recognition within one second, but also can be integrated with the HR system to avoid buddy punch (cheating), which greatly reduces the cost of personnel management. Besides, ultra 3D liveness face recognition can eliminate deceiving access control granting over cheating face photos. Blaze detection solution, which applies AI image process technology to replace the traditional sensor detector, can recognize fire and smoke in very early stage and bridge emergency system for instantaneous countermeasure.

AI engine can automatically judge the conditions of car accidents, illegal stopping, littering, reverse driving, traffic violation, and auto detection on license plate, pedestrian, traffic flow, vehicle classification, and trajectory, etc., which greatly reduces manpower requirement while reinforces performance-surveillance watchover. Especially when the incident occurs, the associated departments can be automatically notified for proceeding engagement, so as to create a fast, convenient and safe smart city network. In addition, aiming at the continuous improvement of the existing image analytics technology like what Eno series intelligent traffic solution conveys, ioNetworks cooperates with the network camera maker to produce a 360-degree digital fisheye camera with strong light suppression and high-power long-distance infrared rays; the accuracy rate over recognizing traffic flow, vehicle classification and trajectory analysis hits the record over 85% even at night time. Because one fisheye camera can cover a two-way, six-lane intersection, it has low construction cost and high efficiency in maintaining analysis.

ToF, Lidar, Radar and other sensing technologies are mainly adopted (non-traditional RGB images). Since the 3D imaging from these sensors is invisible, so that the privacy of patients is maintained. Moreover, with depth information of iTOF arithmetic sensors and AI algorithm, ioNetworks’ fall detection could precisely avoid possible misjudgments caused by squatting, sitting and crawling. In addition, ioNetworks’ ambition in healthcare industry drives us towards rigorous data collection and AI algorithm development. Following the construction of dataset on radar of respiration and pulse, possible symptoms can be detected through the AI algorithm in the future to assist doctors in judgement. EZ Biosign non-contact physiological, constant measurement solution will be led to mass production in the near future, and become a new force to the Hippocrates series.