Edge Camera that performs analytics using artificial intelligence (AI) and deep learning within cameras themselves.

Edge computing means building more capability onto the connected device itself, so information processing power sits as close to the source as possible.

For Video surveillance, one of the primary benefits of edge computing is the ability to undertake advanced analytics using artificial intelligence (AI) and deep learning within cameras themselves.

AXIS Communication – AXIS Q1615-LE Mk III Network Camera

AXIS Q1615-LE Mk III combines exceptional imaging and video performance with outstanding hardware and processing capabilities to provide analytics based on artificial intelligence (AI) with deep learning.

Highly nuanced object classification
This fixed box camera with Q-line functionality and exceptional video quality includes an innovative dual chipset that is the basis for remarkably granular object classification. AXIS Object Analytics is preinstalled and the camera’s dual chipset facilitates powerful artificial intelligence with deep learning.

This allows AXIS Object Analytics to distinguish between bikes, cars, buses, trucks, and so on. You can decide which vehicles you want to detect and when alarms are triggered, and notifications are sent to security personnel. Basing notifications on recognizing the difference between different kinds of vehicles results in fewer false alarms.

The dual chipset allows analytics to run on AXIS Q1615-LE Mk III (on the edge), so fewer servers are needed for processing. This results in a faster and more scalable system and facilitates complex and powerful analytics. Other benefits include real-time processing and lower costs and complexity. And storage and bandwidth needs, as well as privacy concerns, are reduced because only relevant video is transferred over the network.

Qualcomm Introducing Inforce 68A1

The Qualcomm Vision Intelligence Platform spans a full range of system-on-chips (SoCs) designed for running compute-intensive workloads at the edge of the network. The platform is engineered with an eye to IoT devices across consumer and enterprise segments. Chips on the Qualcomm Vision Intelligence Platform allow designers of IoT devices to keep workloads like computer vision, image processing, machine learning, and security on the device. AI on the edge frees manufacturers to focus on IoT innovation without worrying about user privacy and network latency.

Qualcomm QCS610 and Qualcomm QCS410, SoCs for AI inference at the edge with improved performance compared to previous generations.

These latest additions to the Qualcomm Vision Intelligence Platform make advanced AI available in segments where it was previously only available at a premium. That means supporting commonly used surveillance cameras, dashboard cameras, and video conferencing devices with applications like object classification, segmentation, license plate recognition, face recognition, body detection, and people counting. The chips are designed to offer the potential for new product ideas based on the power of AI inference at the edge.

The QCS610 and QCS410 follow Qualcomm Technologies’ paradigm of combining hardware and software for heterogeneous computing. They run the Qualcomm AI Engine, built on the hardware of the Qualcomm® Hexagon DSP Vector Processor and the Qualcomm Adreno GPU. For connectivity, the QCS610 and QCS410 include integrated Wi-Fi (802.11a/b/g/n/ac) and Bluetooth 5.x radios, along with interfaces to support 5G.

Software completes the heterogeneous paradigm. The Qualcomm Neural Processing SDK for AI is designed to provide tools for model conversion and execution, plus APIs for matching computing core (CPU/GPU/DSP) to the desired performance profile. TensorFlow Lite has released a Hexagon delegate software that can accelerate inferencing on the hundreds of millions of Android devices with Hexagon DSPs.

The result is greater efficiency and more computing power that is designed to enable AI inferencing at the network edge.

CISCO – Meraki cloud-first smart edge AI processing camerasCisco Meraki MR57

Meraki MV smart cameras provide end-to-end, cloud-managed solutions for video security, built on the Cisco Meraki cloud-first platform. Cisco Meraki is centered on helping customers connect, secure, and automate to accelerate their digital agility in a cloud-first world

Storage and processing on each camera eliminates the complexity of separate storage, servers, and analytics.

Meraki cloud-managed smart cameras work seamlessly with our sensors, wireless access points, and switches, giving you insight and control over your physical and digital world.

https://meraki.cisco.com/