Building occupancy management solution using the TensorFlow Object Detection API Introduction GreenWaves has developed a people counting solution for occupancy management in smart building systems, providing real-time insights into how available space is used by employees and customers. The sensor can be used for tasks such as meeting room or cafeteria usage optimization, desk [...]
NN Menu A GreenWaves’ GitHub repository that helps you to build and test your application In this tutorial, we discuss the NN Menu – a GreenWaves’ repository that includes NN examples and benchmarks of well-known architectures that help you to build your application and run it on the GAP processor. https://youtu.be/rmmCVqPAz20 Please [...]
Building a battery-operated smart camera in five steps using a multi-core microcontroller Power consumption is the major concern in designing a battery-operated camera system that interprets images on an edge sensor. Greenwaves’ GAP application processors enable new types of devices that combine ultra-low power consumption with sophisticated signal processing and neural network algorithms. [...]
GAPPoc Concept GAPPoc stands for GAP8 Proof of Concept. A GAPPoc platform includes an applicative board with associated documentation and firmware, focussing on one specific class of applications. It is intended to be used as a credible demonstrator of a final product. A GAPPoc board is self-contained and embeds on a single PCB everything [...]
GAPflow In this video tutorial, we take you through GAPflow, a set of tools released by GreenWaves Technologies which allows users to easily port neural networks and other complex algorithms into their GAP chips. GAPflow accelerates the deployment of NNs on GAP while ensuring high-performance and low-energy consumption on GAP processors. The GAPflow toolset [...]
Automated design intelligence with GAPflow Overview and benchmarks on GAP8 Recent advances in Deep Learning (DL) have opened new perspectives in many application domains. Now, we are able to embed DL enabled features into everyday objects, e.g. wearable cameras that recognize objects, voice-controlled headsets or even flying sensors monitoring large areas in agricultural [...]
Which AI models can run at the Very Edge? Artificial Intelligent (AI) has already become pervasive in our everyday life. Nowadays, we are surrounded by numerous intelligent agents that support the human decision process based on real-time data. Typically, our personal data sensed through our own devices, e.g. smartwatches and smartphones, flows to [...]
GVSOC The Full System Simulator for profiling GAP Applications https://youtu.be/XpoeASt8Alo GVSOC is functionally equivalent to the real chip. The compiled code that can run on the chip will also run as it is on the simulator. To properly profile applications, it contains timing models to properly report performance within [...]
Visual Wakewords on GAP8 Sample trace of execution of visual wake words network In the latest GAP SDK, released on the 7th February 2020, we have included a GAPflow example that converts the winner of the Google Visual Wake Words challenge to a working model on GAP8. [...]
Face Identification on mW power budget using GAP8 Face Identification has attracted a lot of press relating to uses in security applications. It is, however, an interesting feature in many applications. Identifying the owner of a device versus another person can have many uses in creating user experiences. [...]
