When you purchase through links in our articles, we may earn a small commission. Once you've paired this camera with Eufy's ProSecure NVR, you'll have a robust, subscription-free, AI-powered home surveillance system. The Eufy PoE Turret Security Camera E41 delivers dependable, subscription-free security with crisp video and smart detection, but only if you're willing to commit to Eufy's wired ProSecure NVR system. It's a strong option for homeowners ready to go beyond Wi-Fi cameras. Wi-Fi cameras are popular because you can set them up almost anywhere and be watching video on your phone within minutes.

The Eufy PoE Bullet Security Camera E40, along with Eufy's Network Video Recorder S4, is a strong choice for homeowners and small business owners who want the enhanced security and reliability of hardwired cameras; plus, local AI and local storage that eliminates the need for a subscription. Add-on camera, 129.99 (requires Eufy Network Video Recorder S4, 399.99) The Eufy PoE Bullet Security Camera E40 is aimed at homeowners and small business owners who want the reliability of wired infrastructure, along with local storage of security camera recordings to eliminate the cost of a cloud subscription. It's built for people who take their security seriously and are willing to pull cables through their walls to get it. The camera must be paired with Eufy's PoE NVR, which you'll likewise need to hardwire to your home network.

The Eufy S4 Max NVR is a serious system for users who want smart features without giving up privacy or flexibility. Most home security systems force you to choose between smart features and local control. As its name indicates, this is a PoE (Power over Ethernet), NVR (Network Video Recorder) system with a built-in AI agent that runs on its own local hardware--there's no cloud storage and no subscription fees required to unlock key features. The bundle includes four of Eufy's PoE Cam S4 triple-lens cameras. Each of these has a fixed-position camera with a single wide-angle lens (122-degree field of view) that's fused to the dual-lens, pan/tilt/zoom camera beneath it.

--Deep Neural Networks are increasingly leveraging sparsity to reduce the scaling up of model parameter size. However, reducing wall-clock time through sparsity and pruning remains challenging due to irregular memory access patterns, leading to frequent cache misses. In this paper, we present NPU V ector Runahead (NVR), a prefetching mechanism tailored for NPUs to address cache miss problems in sparse DNN workloads. NVR provides a general micro-architectural solution for sparse DNN workloads without requiring compiler or algorithmic support, operating as a decoupled, speculative, lightweight hardware sub-thread alongside the NPU, with minimal hardware overhead (under 5%). NVR achieves an average 90% reduction in cache misses compared to SOT A prefetching in general-purpose processors, delivering 4x average speedup on sparse workloads versus NPUs without prefetching. Moreover, we investigate the advantages of incorporating a small cache (16KB) into the NPU combined with NVR. Our evaluation shows that expanding this modest cache delivers 5x higher performance benefits than increasing the L2 cache size by the same amount. Fortunately, these workloads are typically over-parameterised [3], where up to 90% of parameters in prevalent models can be pruned while maintaining comparable performance [4]. This redundancy presents an opportunity to leverage sparsity to reduce such intensive resource demands. Theoretically, more fine-grained sparsity patterns yield higher acceleration by skipping more zero-valued elements.

If you prioritize performance over aesthetics, the Annke CPT500 delivers strong video quality, smart tracking, and flexible installation options that make it a solid choice for both commercial and home security setups. By the look of it, the Annke CPT500 3K Mini PT Speed Dome PoE Security Camera is primarily intended for commercial applications, such as monitoring parking lots, warehouses, and other large spaces. Annke uses the word "dome" in this camera's name, but the CPT500 doesn't really look like the typical enterprise-style camera that has the camera housed inside a glass or plastic dome for protection from vandals. That being said, its small size would be ideal for homeowners who need to monitor wide spaces or locations where you'd want to track a person or vehicle moving around in it; say, a driveway, walkway, or porch, for instance. If you're willing to embrace the Annke CPT500's industrial aesthetic, you'll get a range of features that make it an equally compelling option for residential use.

Recent advances in machine learning are transforming medical image analysis, particularly in cancer detection and classification. Techniques such as deep learning, especially convolutional neural networks (CNNs) and vision transformers (ViTs), are now enabling the precise analysis of complex histopathological images, automating detection, and enhancing classification accuracy across various cancer types. This study focuses on osteosarcoma (OS), the most common bone cancer in children and adolescents, which affects the long bones of the arms and legs. Early and accurate detection of OS is essential for improving patient outcomes and reducing mortality. However, the increasing prevalence of cancer and the demand for personalized treatments create challenges in achieving precise diagnoses and customized therapies. We propose a novel hybrid model that combines convolutional neural networks (CNN) and vision transformers (ViT) to improve diagnostic accuracy for OS using hematoxylin and eosin (H&E) stained histopathological images. The CNN model extracts local features, while the ViT captures global patterns from histopathological images. These features are combined and classified using a Multi-Layer Perceptron (MLP) into four categories: non-tumor (NT), non-viable tumor (NVT), viable tumor (VT), and none-viable ratio (NVR). Using the Cancer Imaging Archive (TCIA) dataset, the model achieved an accuracy of 99.08%, precision of 99.10%, recall of 99.28%, and an F1-score of 99.23%. This is the first successful four-class classification using this dataset, setting a new benchmark in OS research and offering promising potential for future diagnostic advancements.

We recently reviewed Reolink's marvelous RLC-410 4MP PoE Security IP Camera. One of it's most notable features is that it doesn't carry the added cost of a cloud subscription for storing video footage. Instead, you record directly to your mobile device, PC, or--if you want to use several cameras as part of a larger security system--to Reolink's own network video recorder (NVR). We tried out the NVR while we had the RLC-410 in hand and decided to review it separately to do justic to its breadth of features. Reolink offers two versions of it's standalone NVR: the 8-channel RLN8-410 reviewed here and the and the 16-channel RLN16-410.