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2 layers30 × 95 mmIotThermalCamera, the printed circuit board in 3D

A Python-based hardware description language for PCBs for higher-level (block-diagram / system-architecture level) PCB design through libraries of directly reusable subcircuit generators.

Size
30 × 95 mm
Copper layers
2
Thickness
3.66 mm
Parts
120
Nets
97
Pads
581
Tracks, vias
1,214, 179
Pours
5
Routed
Yes
KiCad
KiCad 8.0 (file 20240108)
Created
9 Jul 2020
Updated
2 Nov 2026

Overview

IotThermalCamera is an open-source printed circuit board by BerkeleyHCI, from the BerkeleyHCI/PolymorphicBlocks repository on GitHub, published under the BSD-3-Clause licence. It is a 2-layer board of 30 × 95 mm with 120 parts on 97 nets, routed with 1,214 tracks and 179 vias.

README

README.md

Polymorphic Blocks

Python

subcircuit generator library based hardware description language for circuit board design

Polymorphic Blocks is an open-source, Python-based hardware description language (HDL) for schematic-equivalent design of printed circuit boards (PCBs). Its library of components provide a high-level abstraction for circuit design while subcircuit generators automate the calculation of fine details. Abstract component interfaces enable these libraries to be general across applications and component vendors.

Generates stable KiCad netlists to be routed in the KiCad PCB Editor.

Built Boards

Many boards have been built with this system, from a mechanical keyboard macropad, to battery-powered IoT devices, to a USB source-measure unit. Check out the examples page!

Example: from HDL to Keyboard

Overall flow: write HDL -> generate netlist -> import into KiCad PCB editor -> place and route (optionally iterating with HDL) -> export BoM and Gerbers -> optionally generate JLC PCBA data

A simplified version of the getting started tutorial is this snippet for a 3x4 mechanical keyboard:

python
from edg import *

class Keyboard(SimpleBoardTop):
    def contents(self) -> None:
        super().contents()

        self.usb = self.Block(UsbCReceptacle())
        self.reg = self.Block(LinearRegulator(3.3 * Volt(tol=0.05)))
        self.connect(self.usb.gnd, self.reg.gnd)
        self.connect(self.usb.pwr, self.reg.pwr_in)

        with self.implicit_connect(
            ImplicitConnect(self.reg.pwr_out, [Power]),
            ImplicitConnect(self.reg.gnd, [Common]),
        ) as imp:
            self.mcu = imp.Block(IoController())
            self.connect(self.usb.usb, self.mcu.usb.request())

            self.sw = self.Block(SwitchMatrix(ncols=3, nrows=4))
            self.connect(self.sw.cols, self.mcu.gpio.request_vector("sw_col"))
            self.connect(self.sw.rows, self.mcu.gpio.request_vector("sw_row"))

            self.enc = imp.Block(DigitalRotaryEncoder())
            self.connect(self.enc.a, self.mcu.gpio.request("enc_a"))

The system:

  • provides a library of subcircuit generators, like switch matrices and USB-C ports, that automatically include supporting components like decoupling capacitors and pullup resistors
  • automatically selects generic parts like resistors and diodes against builtin parts tables
  • performs basic electrical checks on the design, including voltage and current limits, automating some common datasheet parameter checking
  • runs fully locally

This generates:

  • a netlist that can be imported into the KiCad PCB editor
    • ... including hierarchical data, allowing subcircuit replication / channelization
    • ... and have stable tstamps, allowing incremental updates to in-progress board layouts
  • a JLCPCB-compatible BoM
    • including a postprocessing script to shift part rotations from KiCad-generated component placements for JLC PCBA
  • a JSON representation of the full design, including connectivity and solved circuit values, to integrate with custom / third-party tooling

macropad.webp

Advanced capabilities include:

  • multi-board support including connector-pair management
  • cross-hierarchy packing of multi-pack devices like dual op-amps and quad resistors
  • standard abstract component interfaces, allowing for custom implementations of parts like resistors (including from a parts table), and microcontrollers
  • full support for user component definition; very little is hard-coded into the infrastructure

Getting Started

text
pip install edg

On first run, the system will automatically download a compatible Java runtime for the core compiler.

Then, work through building a mechanical keyboard (including subcircuit layout replication) in the getting started tutorial.

Also check out the reference documentation for a concise list of capabilities.

Some documentation is available for library parts construction. Be warned, this is more complex and less polished. See the library block definition tutorial using KiCad schematic import and the library construction reference.

Compared to Hierarchical Schematics

The main goal of this HDL is to enable the creation of general subcircuit libraries that can be reused across many applications.

While graphical schematic tools support hierarchical sheets, direct re-use is limited because the sheets encode a lot of per-design information, like a specific resistor values or footprints. Different users may have different requirements (e.g., different resistor values for a LED based on its input voltage, or preference for through-hole vs. surface-mount components).

This HDL addresses those limitations with two mechanisms:

  • Generators allow the implementation of the subcircuit to depend on high-level parameters. A LED circuit could automatically size its resistor based on the input voltage.
  • Abstract parts allow the subcircuit to use generic parts with generic interfaces, which many parts can implement. An abstract resistor interface could be implemented by through-hole and surface-mount resistors, enabling a generic LED circuit and deferring the choice. The top-level designer can then specify refinements to make the specific choice of parts.

Both of these combined also present a higher level of abstraction for the board designer, more at the system architecture level-of-design than schematics. We suspect this will also make it easier for novices to design boards, reducing the knowledge barrier to entry.

Graphical Tooling

The fundamental design structure is the hierarchical block diagram, and we expect graphical tooling can layer cleanly on top of the HDL core. Our current focus is on the HDL core and parts libraries, but we are open to collaborations with those interested in building graphical tooling. We suspect this may be particularly useful for novice users.

We built a proof-of-concept mixed textual / graphical IDE plugin for IntelliJ / PyCharm. It has some nifty concepts (including a block diagram visualizer and design space sweep) but is rough around the edges and only sees basic maintenance. It could be a good source for ideas for community developers.

Additional Notes

Project Status

This is functional has been used to produce a wide variety of boards over the years. While the core is reasonably stable, as a pre-v1.0-release there are no formal guarantees of API stability. In practice, deprecation shims are / will be maintained for common features if APIs change.

This started as an academic research project and continues to be developed as a personal project post-graduation, including for designing boards for fun.

(Some) Dragons Be Ahead

Many functional boards have been built with this system and most of the library parts have been physically tested (some across many designs), but there may still be bugs and edge cases. You are recommended to sanity check generated designs during layout.

Be prepared for things to be rough around the edges. The error messages in particular are not great and need work.

Building boards with the included libraries should be relatively straightforward, but building custom library parts is a more complex process.

Scope

The current libraries best support intermediate-level (and simpler) PCB designs. This includes circuits with discrete microcontrollers, microcontroller modules (like ESP32s), and socketed dev boards. Libraries include common subcircuits like switch matrices, digitally attached peripherals like I2C sensors, voltage converters, and some analog signal conditioning circuits. Check out the subcircuits library folder and parts library folder.

There is no prescribed architecture and microcontrollers are not required.

ESPHome boards are a great fit.

Designs that do not decompose neatly(ish) into subcircuits blocks are a poor fit.

There is no support for high-speed digital design (like DDR memories). There are some experimental RF subcircuits.

The electrical checks are not a design assurance tool and only automate some of the most common datasheet checks. More advanced parameters, especially performance characteristics not related to maximum ratings, are currently out of scope of the electronics model.

Parameter Engine

This system has a concept of parameters (variables, think voltages and currents) that can be attached to blocks and propagate through ports. This is limited to directed assignments, with the goal of deterministic, predictable compilation.

Assertions are supported on parameters to enforce electrical correctness checks.

Solving may happen within a single block with arbitrary Python code (for example, find the best set of E12 resistor values to implement a divider), but not across multiple blocks. Search involving multiple blocks must be handled by the block exposing tuning knobs and the user turning those knobs with recompilation.

Parts Data

Most passive parts / discretes are selected from a 2022 JLCPCB parts table (included in this repository). JLC no longer makes parts tables publicly available.

This parts table still works well and boards have been built using this table as recently as 2026. Some basic parts have drifted and some parts may be no longer stocked.

Contributing

We take pull requests and would love to see contributions and collaborations!

See CONTRIBUTING.md for details.

Papers

This started as an academic project, though with the goal of broader adoption. Check out our papers (all open-access), which have more details:

Misc

  • What is EDG?: Embedded Device Generation (or more generally Electronic Device Generation) was a prior version of this project that focused on algorithms and models for embedded device synthesis, though it lacked a user-facing component. This project is a continuation of that work focusing on an end-to-end system, and for most of its development cycle has been called edg. But, for the purposes of writing research papers, naming collisions are confusing and bad, and we chose to keep the repo and paper name consistent.

Parts

120
QtyValueFootprintReferences
1edg:Symbol_DucklingSolidTU7
1_poe_pwr_out_linkedg:TestPoint_TE_RCT_0805TTP2
1cam.deviceConnector_FFC-FPC:TE_2-1734839-4_1x24-1MP_P0.5mm_HorizontalTJ5
1cam.dovdd_capCapacitor_SMD:C_0603_1608MetricTC44
1cam.pclk_capCapacitor_SMD:C_0603_1608MetricTC46
1cam.reset_capCapacitor_SMD:C_0603_1608MetricTC45
1chokeInductor_SMD:L_0603_1608MetricTFB1
1dist.avdd_capCapacitor_SMD:C_0805_2012MetricTC38
1dist.i2c_rst_pullResistor_SMD:R_0603_1608MetricTR27
1dist.icedg:ST_VL53L5xTU10
1dist.int_pullResistor_SMD:R_0603_1608MetricTR28
1dist.iovdd_capCapacitor_SMD:C_0603_1608MetricTC39
1dist.lpn_pullResistor_SMD:R_0603_1608MetricTR25
1dist.rsvd6_pullResistor_SMD:R_0603_1608MetricTR26
1eth.capCapacitor_SMD:C_1206_3216MetricTC1
1eth.connConnector_RJ:RJ45_Wuerth_7499111446_HorizontalTJ2
1eth.led_grn_resResistor_SMD:R_0603_1608MetricTR2
1eth.led_yel_resResistor_SMD:R_0603_1608MetricTR1
1flir.icedg:Molex_1050281001TU13
1flir.mclk.capCapacitor_SMD:C_0603_1608MetricTC50
1flir.mclk.deviceCrystal:Crystal_SMD_3225-4Pin_3.2x2.5mmTX2
1flir.vdd_capCapacitor_SMD:C_0603_1608MetricTC49
1flir.vddc_capCapacitor_SMD:C_0603_1608MetricTC47
1flir.vddio_capCapacitor_SMD:C_0603_1608MetricTC48
1gndedg:TestPoint_TE_RCT_0805TTP1
1i2c.scledg:TestPoint_TE_RCT_0805TTP5
1i2c.sdaedg:TestPoint_TE_RCT_0805TTP6
1i2c_pull.scl_resResistor_SMD:R_0603_1608MetricTR23
1i2c_pull.sda_resResistor_SMD:R_0603_1608MetricTR24
1ioe.icPackage_SO:TSSOP-20_4.4x6.5mm_P0.65mmTU12
1ioe.reset_capCapacitor_SMD:C_0603_1608MetricTC43
1ioe.sdiConnector:Tag-Connect_TC2030-IDC-NL_2x03_P1.27mm_VerticalTJ4
1ioe.vdd_capCapacitor_SMD:C_0603_1608MetricTC42
1jlc_th.th1edg:JlcToolingHole_1.152mmTH1
1jlc_th.th2edg:JlcToolingHole_1.152mmTH2
1jlc_th.th3edg:JlcToolingHole_1.152mmTH3
1ledr.packageLED_SMD:LED_0603_1608MetricTD4
1ledr.resResistor_SMD:R_0603_1608MetricTR12
1mcu.en_pull.cCapacitor_SMD:C_0603_1608MetricTC20
1mcu.en_pull.rResistor_SMD:R_0603_1608MetricTR11
1mcu.icRF_Module:ESP32-S3-WROOM-1TU7
1mcu.progConnector:Tag-Connect_TC2030-IDC-NL_2x03_P1.27mm_VerticalTJ3
1mcu.vcc_cap0Capacitor_SMD:C_1206_3216MetricTC18
1mcu.vcc_cap1Capacitor_SMD:C_0603_1608MetricTC19
1pd.icPackage_DFN_QFN:WQFN-14-1EP_2.5x2.5mm_P0.5mm_EP1.45x1.45mmTU11
1pd.vdd_cap[0]Capacitor_SMD:C_0603_1608MetricTC40
1pd.vdd_cap[1]Capacitor_SMD:C_0603_1608MetricTC41
1phy.avdd_caps[0]Capacitor_SMD:C_0603_1608MetricTC27
1phy.avdd_caps[1]Capacitor_SMD:C_0603_1608MetricTC28
1phy.avdd_caps[2]Capacitor_SMD:C_0603_1608MetricTC29
1phy.avdd_caps[3]Capacitor_SMD:C_0603_1608MetricTC30
1phy.avdd_caps[4]Capacitor_SMD:C_0603_1608MetricTC31
1phy.avdd_caps[5]Capacitor_SMD:C_0603_1608MetricTC32
1phy.avdd_caps[6]Capacitor_SMD:C_0805_2012MetricTC33
1phy.c1v20Capacitor_SMD:C_0603_1608MetricTC23
1phy.crystal.cap_aCapacitor_SMD:C_0603_1608MetricTC21
1phy.crystal.cap_bCapacitor_SMD:C_0603_1608MetricTC22
1phy.crystal.packageCrystal:Crystal_SMD_3225-4Pin_3.2x2.5mmTX1
1phy.exres1Resistor_SMD:R_0603_1608MetricTR13
1phy.icPackage_QFP:LQFP-48_7x7mm_P0.5mmTU8
1phy.lInductor_SMD:L_0603_1608MetricTFB2
1phy.rxc_capCapacitor_SMD:C_0603_1608MetricTC37
1phy.rxn_acCapacitor_SMD:C_0603_1608MetricTC36
1phy.rxn_biasResistor_SMD:R_0603_1608MetricTR22
1phy.rxn_dampResistor_SMD:R_0603_1608MetricTR17
1phy.rxp_acCapacitor_SMD:C_0603_1608MetricTC35
1phy.rxp_biasResistor_SMD:R_0603_1608MetricTR21
1phy.rxp_dampResistor_SMD:R_0603_1608MetricTR16
1phy.tocapCapacitor_SMD:C_0805_2012MetricTC24
1phy.txc_biasResistor_SMD:R_0603_1608MetricTR20
1phy.txc_capCapacitor_SMD:C_0603_1608MetricTC34
1phy.txn_biasResistor_SMD:R_0603_1608MetricTR19
1phy.txn_dampResistor_SMD:R_0603_1608MetricTR15
1phy.txp_biasResistor_SMD:R_0603_1608MetricTR18
1phy.txp_dampResistor_SMD:R_0603_1608MetricTR14
1phy.vdd_cap0Capacitor_SMD:C_0603_1608MetricTC25
1phy.vdd_cap1Capacitor_SMD:C_0805_2012MetricTC26
1poe.clsResistor_SMD:R_0603_1608MetricTR3
1poe.denResistor_SMD:R_0603_1608MetricTR4
1poe.icPackage_SO:HSOP-8-1EP_3.9x4.9mm_P1.27mm_EP2.41x3.1mm_ThermalViasTU1

The 80 most common of 120 parts.

Questions

How big is the IotThermalCamera PCB?

It measures 30 × 95 mm and has 2 copper layers, 3.66 mm thick.

What parts does the IotThermalCamera use?

120 parts. The full list of its parts is on this page, with links to each part's symbol and footprint where PCBKit's library has them.

Where can I download the IotThermalCamera KiCad files?

From the BerkeleyHCI/PolymorphicBlocks repository on GitHub, at the commit this page was made from: the board is examples/IotThermalCamera/IotThermalCamera.kicad_pcb. PCBKit opens the board in the browser, with nothing to install.

Can I use the IotThermalCamera design in my own project?

Its repository publishes it under the BSD-3-Clause licence: you may reuse it on that licence's terms (keep the author's notice, and for a copyleft licence share your changes alike).

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