Actcast is an IoT platform service that enables developers to deploy deep learning models on edge devices like Raspberry Pi. It connects physical world events to web services through on-device AI inference, focusing on edge computing to reduce costs, lower latency, and enhance data privacy.

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Added on: 2025-08-02
Price Type Freemium
Monthly Traffic: 1.3K

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Actcast Overview

What is Actcast?

Actcast is a sophisticated IoT platform service designed for developers and businesses looking to harness the power of artificial intelligence at the edge. It provides a comprehensive ecosystem for creating, deploying, and managing AI-powered applications that run directly on low-cost edge devices, with Raspberry Pi being a primary supported hardware. The core concept of Actcast is edge computing, where data processing, particularly deep learning inference, occurs locally on the device rather than in the cloud. This approach allows for the real-time analysis of physical world events, such as detecting human faces, identifying specific objects, or monitoring activity, and then translating these detections into actionable data or web-based notifications.

Developed by Idein Inc., Actcast empowers users to build advanced IoT solutions without the heavy infrastructure and data transfer costs typically associated with cloud-based AI. By processing information on-site, it significantly mitigates privacy concerns, as sensitive data like video feeds does not need to be continuously streamed to a central server. The platform is built to be flexible and scalable, supporting a wide range of applications from smart home automation to industrial quality control and retail analytics.

How to use Actcast?

Using Actcast involves a structured workflow designed for developers to seamlessly take an AI model from concept to deployment on a fleet of devices.

  1. Sign Up & Setup: Begin by creating an account on the Actcast platform. Users can then create a 'Group' to manage their devices and applications.
  2. Develop an 'Act': An 'Act' is an application that performs a specific AI task (e.g., image classification, object detection). Developers use the Actcast SDK and ActDK (Actcast Development Kit) to create their own Acts. This involves writing the application logic and packaging the deep learning model.
  3. Upload and Register: Once developed, the Act is uploaded to the Actcast platform. Here, it can be registered, versioned, and prepared for deployment.
  4. Prepare Edge Devices: Set up your edge devices, such as a Raspberry Pi. This involves writing the Actcast agent image to an SD card and registering the device to your group on the platform using a provisioning token.
  5. Install the Act: From the Actcast dashboard, you can remotely install your registered Act onto one or multiple devices with a few clicks. The device will then download and run the application.
  6. Configure a 'Cast': A 'Cast' defines what happens when an Act detects an event. You can configure a Cast to send a notification to a web service via Webhook, write data to a BigQuery table, or trigger other custom actions.
  7. Monitor and Manage: The platform provides a comprehensive dashboard for monitoring device status, viewing event logs, and managing your entire fleet of devices and applications remotely.

Core Features of Actcast

  • Edge AI Inference: Performs deep learning and computer vision tasks directly on edge devices, enabling real-time response and offline functionality.
  • Developer-Centric Platform: Offers a complete toolchain including an SDK (Actcast SDK), Development Kit (ActDK), and extensive documentation for creating custom AI applications.
  • Device Management: Provides a centralized web-based console to register, monitor, update, and manage fleets of IoT devices remotely.
  • Act & Cast System: A powerful event-driven architecture where 'Acts' (AI detection applications) trigger 'Casts' (actions like Webhook notifications), allowing for easy integration with external services.
  • Support for Raspberry Pi: Optimized for and officially supports the popular, low-cost Raspberry Pi, making edge AI accessible and affordable.
  • Privacy by Design: By processing data locally, Actcast minimizes the transfer of sensitive information to the cloud, enhancing data privacy and security.
  • Scalability: Designed to manage solutions from a single device to thousands, making it suitable for both prototyping and large-scale commercial deployments.

Use Cases for Actcast

Actcast's flexibility allows it to be applied across various industries:

  • Retail Analytics: Counting foot traffic, analyzing customer demographics, monitoring queue lengths, and tracking shelf stock without compromising shopper privacy.
  • Smart Buildings & Offices: Detecting room occupancy for efficient energy management, monitoring access to secure areas, and automating building services based on human presence.
  • Industrial Automation: Performing visual quality inspections on production lines, detecting anomalies in machinery, and ensuring worker safety by monitoring restricted zones.
  • Security and Surveillance: Creating intelligent security systems that can detect intruders, identify specific objects, and send real-time alerts to security personnel or trigger alarms.
  • Smart Agriculture: Monitoring crop health, detecting pests, and tracking livestock behavior through on-site image analysis.

Advantages of Actcast

The primary advantages of using Actcast stem from its edge computing architecture:

  • Reduced Costs: Significantly lowers expenses related to cloud computing and data bandwidth by minimizing the amount of data sent to the cloud.
  • Enhanced Privacy and Security: Keeps sensitive data on the local device, reducing the risk of data breaches during transmission and storage.
  • Low Latency: Real-time processing on the edge enables immediate responses and actions, which is critical for applications like industrial control and security alerts.
  • Reliability: Applications can continue to function even with intermittent or no internet connectivity, as the core processing is done locally.
  • Developer Flexibility: The open SDK and platform structure give developers the freedom to build and deploy highly customized solutions tailored to specific needs.

Pricing and Plans

Actcast utilizes a monthly subscription pricing model that is primarily aimed at application development vendors. The cost is calculated based on the 'simultaneous usage count of applications'—essentially, the total number of devices running a specific application. The monthly fee for a vendor is the sum of the platform usage fees for each of their published applications. The platform usage fee for a single application is determined by multiplying the maximum simultaneous usage count within the month by a platform usage unit price. For specific details on the unit price and to get a quote, prospective users are required to contact the Actcast sales team. Additionally, Actcast offers demo applications that all users can use for free, providing a way to test the platform's capabilities before committing to a paid plan.

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ActcastWebsite Traffic Analysis

Latest Traffic

Monthly Visits 1.3K
Average Visit Duration 0:18
Pages per Visit 1.48
Bounce Rate 41.7%

Status

Down -13.1% vs Last Month
Data updated on 2026-05-25

Monthly Traffic Trend

Geography

Top 5 Countries/Regions

  • 🇯🇵 Japan
    100.00%

Popular Keywords

Keyword Cost Per Click
$0.00
$0.00
$1.69
$0.79
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