This innovative approach significantly enhances object detection accuracy while reducing reliance on real-world images. Pointing out that gathering such real-world data can be expensive ...

a global leader in crisis detection and monitoring, has announced a significant expansion of its data sources through an official integration with Reddit's Data API. This partnership enables ...

Abstract: Object detection and recognition are crucial for autonomous vehicles, surveillance systems, and human-computer interaction. We present a new fully complementary metal-oxide semiconductor ...

He emphasized how Seceon’s AI-driven approach enables proactive threat detection and automated response, aligning with the industry’s shift toward more efficient and effective security solutions. The ...

Abstract: In adverse environments, the detector often fails to detect degraded objects because they are almost invisible and their features are weakened by the environment. Common approaches involve ...

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator ...

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[Lukas Biewald] recently built a robot around some stock pieces (including a Raspberry Pi) and enlisted TensorFlow to allow the robot to recognize objects. You can see a video of the device ...