Hi tls,Primax Electronics Ltd (Taiwan) have just released a smart door lock
Ambarella must be using Akida IP to achieve the functionality described below? It’s got BrainChip written all over it
View attachment 33245
View attachment 33246
View attachment 33244
View attachment 33250
View attachment 33249
View attachment 33251
View attachment 33252
View attachment 33253
Ambarella Inc on LinkedIn: #iscwest #aienvisioned #ambarella #primaxelectronics #iscwest #security…
#ISCWest - Primax Electronics Ltd. announced a new high-precision 3D artificial intelligence (AI) facial recognition smart door lock based on our low-power…www.linkedin.com
Ambarella have their own CNN doorbell SoC:
US11563927B2 Mounting calibration of structured light projector in mono camera stereo system
[0089] The processor/SoC 802 may be configured to execute computer readable code and/or process information. In various embodiments, the computer readable code may be stored within the processor/SoC 802 (e.g., microcode, etc.) and/or in the memory 806 . In an example, the processor/SoC 802 may be configured to execute one or more artificial neural network models (e.g., facial recognition CNN, object detection CNN, object classification CNN, etc.) stored in the memory 806 . In an example, the memory 806 may store one or more directed acyclic graphs (DAGs) and one or more sets of weights defining the one or more artificial neural network models. The processor/SoC 802 may be configured to receive input from and/or present output to the memory 806 . The processor/SoC 802 may be configured to present and/or receive other signals (not shown). The number and/or types of inputs and/or outputs of the processor/SoC 802 may be varied according to the design criteria of a particular implementation. The processor/SoC 802 may be configured for low power (e.g., battery) operation.
[0112] One of the hardware modules 809 a - 809 n (e.g., 809 b ) may implement a convolutional neural network (CNN) module. The CNN module 809 b may be configured to perform the computer vision operations on the video frames. The CNN module 809 b may be configured to implement recognition of the objects and/or events through multiple layers of feature detection. The CNN module 809 b may be configured to calculate descriptors based on the feature detection performed. The descriptors may enable the processor 802 to determine a likelihood that pixels of the video frames correspond to particular objects (e.g., the people, pets, items, text, etc.).
[0113] The CNN module 809 b may be configured to implement convolutional neural network capabilities. The CNN module 809 b may be configured to implement computer vision using deep learning techniques. The CNN module 809 b may be configured to implement pattern and/or image recognition using a training process through multiple layers of feature-detection. The CNN module 809 b may be configured to conduct inferences against a machine learning model.
..
