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Inforce 6560™ Micro Single Board Computer (SBC)
The Inforce 6560 Single Board Computer (SBC) combines the heterogeneous compute capabilities of the Qualcomm® SDA660 SoC with 2x2 802.11ac Wi-Fi, Bluetooth 5.x, a full-featured USB-C interface with UltraHD display capability, an integrated battery charging circuitry with battery header, an onboard RTC, and ample internal memory to make it a complete 4K encode/decode plug-n-play system. Qualcomm® AI Engine enables advanced visual computing, enhanced graphics, and machine learning capabilities.
KEY FEATURES:
- Dual Streaming perfect for Proximity Detection, Semantic Segmentation, Autonomous Driving, and Facial Recognition.
- Ideal for IoE edge devices for healthcare, smart cities, digital signage, smart cameras.
The Inforce 6560 Single Board Computer (SBC) combines the heterogeneous compute capabilities of the Qualcomm® SDA660 SoC with 2x2 802.11ac Wi-Fi, Bluetooth 5.x, a full-featured USB-C interface with UltraHD display capability, an integrated battery charging circuitry with battery header, an onboard RTC, and ample internal memory to make it a complete 4K encode/decode plug-n-play system. Qualcomm® AI Engine enables advanced visual computing, enhanced graphics, and machine learning capabilities.
KEY FEATURES:
- Dual Streaming perfect for Proximity Detection, Semantic Segmentation, Autonomous Driving, and Facial Recognition.
- Ideal for IoE edge devices for healthcare, smart cities, digital signage, smart cameras.
Inforce 6503™ Nano System On Module (SOM)
A production-ready LGA Packaged Nano SoM based on Qualcomm® SDA660 SOC. The LGA packaged Inforce 6503 SOM offers multiple MIPI-CSI interfaces with which depth perception use-cases like proximity detection, semantic segmentation, autonomous driving, and facial recognition can be enabled with ease on a system built with this product. The product’s enhanced hardware and software capabilities for on-camera deep learning and video analytics, 4K HEVC video encoding and advanced security hardware.
KEY FEATURES:
- Multiple MIPI-CSI Interfaces for Proximity Detection, Semantic Segmentation, Autonomous Driving, and Facial Recognition
- Qualcomm® AI Engine for On Device AI deep learning in camera, audio, security, gaming, wearables, body cameras, and handheld healthcare devices
A production-ready LGA Packaged Nano SoM based on Qualcomm® SDA660 SOC. The LGA packaged Inforce 6503 SOM offers multiple MIPI-CSI interfaces with which depth perception use-cases like proximity detection, semantic segmentation, autonomous driving, and facial recognition can be enabled with ease on a system built with this product. The product’s enhanced hardware and software capabilities for on-camera deep learning and video analytics, 4K HEVC video encoding and advanced security hardware.
KEY FEATURES:
- Multiple MIPI-CSI Interfaces for Proximity Detection, Semantic Segmentation, Autonomous Driving, and Facial Recognition
- Qualcomm® AI Engine for On Device AI deep learning in camera, audio, security, gaming, wearables, body cameras, and handheld healthcare devices
Inforce 6502™ SOM Based Reference Design (Development Kit)
The Inforce SYS6502 reference platform for embedded designers couples the Inforce 6502 Micro SoM with a small but complete carrier board to bring out all native interfaces and compute power of the Qualcomm® SDA660 processor. The easy-to-use platform enables quick time to market of embedded and IOT products that are based on the SDA660 processor. Inforce’s custom camera modules with up to 4K encoding capability are plug-n-play accessories.
KEY FEATURES:
- Dual Streaming perfect for proximity detection, semantic segmentation, autonomous driving, and facial recognition.
- Ideal for IoE edge devices for healthcare, smart cities, digital signage, smart cameras.
The Inforce SYS6502 reference platform for embedded designers couples the Inforce 6502 Micro SoM with a small but complete carrier board to bring out all native interfaces and compute power of the Qualcomm® SDA660 processor. The easy-to-use platform enables quick time to market of embedded and IOT products that are based on the SDA660 processor. Inforce’s custom camera modules with up to 4K encoding capability are plug-n-play accessories.
KEY FEATURES:
- Dual Streaming perfect for proximity detection, semantic segmentation, autonomous driving, and facial recognition.
- Ideal for IoE edge devices for healthcare, smart cities, digital signage, smart cameras.
Inforce 6502™ Micro System On Module (SOM)
A production ready micro SoM based on Qualcomm® SDA660 SOC with stereoscopic depth sensing, and Deep Learning capabilities. On-camera deep learning and video analytics, 4K HEVC video encoding and advanced features for robust hardware-based security. The SDA660 SOC platform has processor advancements that offer higher performance with independent efficiency and power clusters. Perfect for IoE Edge Computing, digital signage, & smart cameras.
KEY FEATURES:
- Dual Streaming
- Proximity Detection, Semantic Segmentation, Autonomous Driving, & Facial Recognition
A production ready micro SoM based on Qualcomm® SDA660 SOC with stereoscopic depth sensing, and Deep Learning capabilities. On-camera deep learning and video analytics, 4K HEVC video encoding and advanced features for robust hardware-based security. The SDA660 SOC platform has processor advancements that offer higher performance with independent efficiency and power clusters. Perfect for IoE Edge Computing, digital signage, & smart cameras.
KEY FEATURES:
- Dual Streaming
- Proximity Detection, Semantic Segmentation, Autonomous Driving, & Facial Recognition
TurboX™ D660/D660Pro Development Kit
Development kit for evaluation and prototyping with the fast, mid-range Qualcomm® SDA660 and SDM660 SoCs. Designed to support on-device artificial intelligence, advanced photography and enhanced gaming while maintaining long battery life.
Development kit for evaluation and prototyping with the fast, mid-range Qualcomm® SDA660 and SDM660 SoCs. Designed to support on-device artificial intelligence, advanced photography and enhanced gaming while maintaining long battery life.
