Sold by: SQUAD
Deployed on AWS
Spark is a modular AI and video streaming platform with end-to-end SDKs for building connected camera applications across smart home, IoT, and automotive.
Overview
Spark is a secure, scalable, AI-centric video streaming platform for building connected camera applications across smart home, IoT, automotive, and enterprise environments. It combines Qualcomm-based firmware SDKs, AWS cloud infrastructure, and native Android and iOS SDKs into a single modular stack.
Key capabilities
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Sub-second live streaming and playback. Ingest video through Amazon Kinesis Video Streams with WebRTC for sub-second live views and HLS or DASH for on-demand playback.
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Secure device provisioning. Onboard devices at scale using X.509 certificates, fleet provisioning templates, and a guided Bluetooth Low Energy flow in the mobile app.
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Failsafe OTA firmware management. Coordinate over-the-air firmware updates through AWS IoT Jobs with built-in failsafe mechanisms and automated rollback.
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Hybrid edge and cloud computer vision. Run AI pipelines with Amazon Rekognition for motion detection and object classification, processing at the edge for low latency or in the cloud for heavier workloads.
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Advanced AI features. Use Amazon Bedrock for text-based smart video search, alongside rule-based alerts that reduce false alarms, Person ID tracking, and a chatbot for natural language queries against video data.
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Modular architecture. Select only the modules your project requires: Streaming, IoT Fleet Management, Computer Vision, Mobile App, or Advanced AI. Modules can be combined and expanded as requirements evolve.
Industry applications
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Home security. Connected home applications with edge, cloud, or hybrid AI and Matter support for smart home interoperability.
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Automotive. Localized computer vision and sensor fusion models optimized for Qualcomm Linux SoCs, with fleet telemetry and OTA monitoring.
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Enterprise. Large device fleets managed through AWS IoT Jobs, OTA campaigns, and device shadows.
AWS services used:
Amazon Kinesis Video Streams for ingestion and streaming, AWS IoT Core and AWS IoT Jobs for device management and OTA updates, Amazon Rekognition for computer vision, and Amazon Bedrock for natural language video search.
Highlights
- Complete end-to-end modular stack combining Qualcomm-based firmware SDKs, AWS cloud infrastructure, and Android/iOS mobile SDKs. Build, customize, and deploy connected camera solutions on Qualcomm SoCs by adjusting pre-engineered components. Buy only what you need - Streaming, IoT Fleet Management, Computer Vision, Mobile App, or Advanced AI features - reducing development time and accelerating time to market for smart home, IoT, and automotive products.
- Deep AWS integration with Amazon Kinesis Video Streams for sub-second WebRTC live views and HLS/DASH playback, AWS IoT Jobs for secure OTA firmware updates with automated rollbacks, Amazon Rekognition for hybrid edge-cloud AI pipelines handling real-time motion detection and object classification, and X.509 certificate-based device provisioning with fleet templates and guided BLE onboarding.
- Advanced AI capabilities natively built in, including text-based Smart Video Search powered by AWS Bedrock for natural language moment retrieval, custom rule-based alerts that minimize false alarms, Person ID for identification and personalization, and an interactive AI chatbot. All features run across hybrid edge-cloud pipelines for intelligent, low-latency processing across home security, automotive fleet telemetry, and enterprise IoT deployments.
Details
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Delivery method
Supported services
Delivery option
Spark AI Video Streaming Platform, Container Deployment
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
Connected camera (per hour) | One online camera per hour. Includes live view, recording, AI alerts and video search. | $0.00000001 |
Vendor refund policy
Refund policy
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
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Delivery details
Spark AI Video Streaming Platform, Container Deployment
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
- Metering Service enabled
Additional details
Usage instructions
Spark AI Video Streaming Platform deploys entirely within your own AWS account. This container image provides the core cloud services for the Spark stack; pair it with the companion Qualcomm firmware SDK and Android/iOS mobile SDKs to build a complete connected camera application.
Key modules included:
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Video Streaming Ingests camera video via Amazon Kinesis Video Streams (KVS). Live viewing uses sub second WebRTC, and playback of recorded footage uses HLS/DASH for reliability.
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OTA Management Coordinates over the air firmware updates through AWS IoT Jobs, with built in failsafe checks and automated rollback if an update fails.
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Device Provisioning Onboards devices securely using X.509 certificates and fleet provisioning templates, guided by a Bluetooth Low Energy (BLE) flow in the companion mobile app.
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Computer Vision and Video Processing Runs a hybrid edge/cloud AI pipeline. Amazon Rekognition handles real time motion detection and object classification.
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Advanced AI Features Uses AWS Bedrock for text based Smart Video Search, plus custom rule based alerting to reduce false alarms. Includes Person ID tracking and an interactive AI chatbot for querying footage and device status.
Getting started:
- Launch the container image into your AWS account following the deployment steps provided in the product configuration screen.
- Configure your AWS IoT Core and Kinesis Video Streams resources as described in the setup documentation (link below).
- Provision your first device using the guided BLE flow in the Spark mobile app.
- Verify live streaming and OTA update delivery from the Spark console.
- Enable the Advanced AI module if you want Smart Video Search, alerting, Person ID, or the AI chatbot.
Modularity: Spark's architecture is modular. You can deploy the full stack or only the modules you need, such as Streaming, IoT Fleet Management, CV, Mobile App, or Advanced AI.
Industry specific guidance:
- Home Security: connected home apps with edge, cloud, or hybrid AI, with Matter support.
- Automotive: localized CV and sensor fusion optimized for Qualcomm Linux SoCs, with fleet telemetry and failsafe OTA monitoring.
- Enterprise: large scale device management using automated AWS IoT Jobs, OTA campaigns, and device shadows.
Support
Vendor support
SQUAD provides support for the Spark AI Video Streaming Platform. For assistance with platform integration, troubleshooting, or general inquiries, please contact the SQUAD team directly.
SQUAD's cross-functional team of 600+ tech and product development experts covers firmware, cloud infrastructure, machine learning, and mobile development to ensure comprehensive technical support across all platform modules.
SQUAD holds ISO 9001:2015, ISO 22301:2019, and ISO/IEC 27001:2022 certifications, ensuring quality management and business continuity standards are maintained throughout the support process.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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